​

​

​

​

2024

• Jian Yang, Jiayao Xu, Pham Do-Kim Chi, and Jinjia Zhou. " JVCSR+: Adaptively Learned Video Compressive Sensing Reconstruction with Joint In-loop Reference Enhancement and Out-loop Super-resolution." Computational Visual Media (2024) (IF2023: 6.9)

​

• Zhou, Jinjia, and Jian Yang. "Compressive Sensing in Image/Video Compression: Sampling, Coding, Reconstruction, and Codec Optimization." Information 15.2 (2024): 75. (IF2023: 3.1)

​

• Jian Yang, Kun Xiang, Haixin Wang, Yibo Fan, and Jinjia Zhou, “ASAUN-CS: Adaptive Stage Activated Unfolding Network for Compressive Sensing,” IEEE International Symposium on Circuits and Systems (ISCAS), 2024, Singapore.

​

• Xin Cheng, Jialiang Tang, Zhiqiang Zhang, Wenxin Yu, Ning Jiang, and Jinjia Zhou "Decoupled Multi-teacher Knowledge Distillation based on Entropy". IEEE International Symposium on Circuits and Systems (ISCAS), 2024, Singapore.

​

• Mizuki Miyamoto, Ryugo Morita, Jinjia Zhou, "Visual question answering based evaluation metrics for text-to-image generation". IEEE International Symposium on Circuits and Systems (ISCAS), 2024, Singapore.

​

• Matano Haruka, Haixin Wang, Jinjia Zhou, "An Iterative Image Inpainting Method Using Mask Shrinking." IEEE International Symposium on Circuits and Systems (ISCAS), 2024, Singapore.

​

• Shinko Hayashi, Zhiqiang Zhang, Jinjia Zhou, "RPCS v2.0: Object-Detection-Based Recurrent Point Cloud Selection Method for 3D Dense Captioning", Neurocomputing, 2024 (Impact Factor: 6) [paper]

​

​

2023

 

​​​

• Jian Yang, Haixin Wang, Ittetsu Taniguchi, Yibo Fan, and Jinjia Zhou. "aVCSR: Adaptive Video Compressive Sensing using Region-of-Interest Detection in the Compressed Domain." IEEE MultiMedia (2023). (IF2022: 3.2).​​

​

• Chen Fu, Yang Yu, Zhiqiang Zhang, Wei Weng, Jinjia Zhou."Dynamic Talking-Head Generation with Speech Emotion Recognition and Intensity Detection". International Conference on Electronics, Communications and Networks(CECNet 2023), Macao, China.

​

• Jiayao Xu, Jian Yang, Fuma Kimishima, Ittetsu Taniguchi, Jinjia Zhou. ”Compressive Sensing based Image Codec with Partial Pre-calculation.” IEEE Transactions on Multimedia, (IF 8.182).

​

• Wang Haixin, Jian Yang, Ryohei Katayama, Michiya Matsusaki, Tomoyuki Miyao, and Jinjia Zhou. "NuclSeg: nuclei segmentation using semi-supervised stain deconvolution", ACM Multimedia Asia 2023, Tainan, Taiwan.

​

• Kosuke Iwama, Ryugo Morita, Jinjia Zhou, "Block based Adaptive Compressive Sensing with Sampling Rate Control", ACM Multimedia Asia 2023, Tainan, Taiwan.

​

• Zhiqiang Zhang, Wenxin Yu, Yibo Fan, and Jinjia Zhou. TCGIS: Text and Contour Guided controllable Image Synthesis. ACM MM Workshop (McGE), October 29, 2023, Ottawa, ON, Canada

​​

• Ryugo Morita, Zhiqiang Zhang, Jinjia Zhou, "BATINet: Background-aware Text to Image Synthesis and Manipulation Network", 2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, MYS.

​

• Zhiqiang Zhang, Jiayao Xu, Ryugo Morita, Wenxin Yu, Jinjia Zhou, "Dynamic Unilateral Dual Learning for Text to Image Synthesis", 2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, MYS.

​

• Alban Marie, Karol Desnos, Chen Fu, Jinjia Zhou, Luce Morin and Lu Zhang, "Towards Machine Perception Aware Image Quality Assessment". IEEE 25th International Workshop on Multimedia Signal Processing (MMSP), Poitiers, France.

​

• Gang He, Shaoyi Long, Li Xu, Chang Wu, Wenxin Yu, Jinjia Zhou, "Global priors guided modulation network for joint super-resolution and SDRTV-to-HDRTV", Neurocomputing (IF2022: 5.779) July 2023. [paper]

​​

• Chen, Fu, Heming Sun, Zhiqiang Zhang, and Jinjia Zhou. 2023. "A Highly Pipelined and Highly Parallel VLSI Architecture of CABAC Encoder for UHDTV Applications". Sensors 2023, no. 9: 4293. (IF2021: 3.847)[paper]
   

• Ryugo Morita, Zhiqiang Zhang, Jinjia Zhou, "Background Interpretation-based Foreground Image Synthesize". MIRU 2023, Hamamatsu, Japan.
   

• Jian Yang, Haixin Wang, Yibo Fan, and Jinjia Zhou, " VCSL: Video Compressive Sensing with Low-complexity ROI Detection in Compressed Domain," 2023 Data Compression Conference (DCC), Snowbird, UT, USA. [paper]

​

• Keren He, Chen Fu, Lu Zhang, Jinjia Zhou,"Temporal Down-sampling based Video Coding with Frame-Recurrent Enhancement" 2023 Data Compression Conference (DCC), Snowbird, UT, USA.[paper]

​

• Jinyao Zhou, Jiayao Xu, Jirayu Peetakul, Jinjia Zhou, "Zigzag Ordered Walsh Matrix for Compressed Sensing Image Sensor" 2023 Data Compression Conference (DCC), Snowbird, UT, USA.[paper]

​

• Ryugo Morita, Zhiqiang Zhang, Man M. Ho, Jinjia Zhou, "Interactive Image Manipulation with Complex Text Instructions"IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023), Waikoloa, Hawaii.[paper]

​​

​

2022

​

• Man M.Ho, Heming Sun, Zhiqiang Zhang, Jinjia Zhou, "On Pre-chewing Compression Degradation for Learned Video Compression" IEEE Visual Communications and Image Processing (VCIP 2022)[paper]

​

• Zhiqiang Zhang, Chen Fu, Wei Weng and Jinjia Zhou. "Text-Guided Customizable Image Synthesis and Manipulation". Applied Sciences, 2022 (IF: 2.921)​

​

• Shinko Hayashi, Zhiqiang Zhang, and Jinja Zhou, " HA Recurrent Point Clouds Selection Method for 3D Dense Captioning". The 29th International Conference on Neural Information Processing (ICONIP 2022) [Video]

​

• Haixin Wang, Jian Yang and Jinjia Zhou, " Hierarchical down-sampling based ultra high-resolution image inpainting". The 29th International Conference on Neural Information Processing (ICONIP 2022) [Video]

​​

• Catherine W. Wangari, Pham Do Kim Chi, Jinjia Zhou, "Object detection and tracking aided SLAM in image sequences for dynamic environment". IEEE 24th International Workshop on Multimedia Signal Processing(MMSP).

​​

• Chen Fu, Heming Sun, Jiayao Xu, Zhiqiang Zhang, Jinjia Zhou, "Optimizing CABAC architecture with prediction based context model prefetching". IEEE 24th International Workshop on Multimedia Signal Processing(MMSP).

​

• Alaa Zain, Jian Yang and Jinjia Zhou, "Collaborative Multiple-Student Single-Teacher for Online Learning". The 31st International Conference on Artificial Neural Networks (ICANN).

​

• Zhiqiang Zhang, Jinjia Zhou*, Wenxin Yu and Ning Jiang. Text-to-Image Synthesis: Starting Composite from the Foreground Content. In Information Sciences, 2022. (​IF2021: 8.233)（情報処理分野のトップジャーナル)

​

• Shinko Hayashi, Zhiqiang Zhang and Jinjia Zhou. "Improving descriptive deficiencies with a Random Selection Loop for 3D Dense Captioning based on Point Clouds". The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops: VizWiz Grand Challenge.

​

• Zhiqiang Zhang, Chen Fu, Man M. Ho, Jinjia Zhou, Wenxin Yu, Ning Jiang. "Text-guided Image Manipulation based on Sentence-aware and Word-aware Network". 2022 IEEE International Conference on Multimedia & Expo (ICME). July. 2022. (acceptance rate 29%)

​

• Fuma Kimishima, Jian Yang, Thuy Thi Thu Tran, Jinjia Zhou, "Frame Adaptive Rate Control Scheme for Video Compressive Sensing", The 21st International Conference on IMAGE ANALYSIS AND PROCESSING (ICIAP), May 2022.

​

• Jiayao Xu, Pham DoKim Chi, Chen Fu, Jinjia Zhou, "A 81.92Gpixels/S Fast Reconstruction of Images from Compressively Sensed Measurements", 2022 IEEE International Symposium on Circuits & Systems (ISCAS).

​

• Jirayu Peetakul, Jinjia Zhou, "Cube-based Video Coding Framework for Block-based Compressive Imaging", 2022 Data Compression Conference (DCC).

​

• Xu Li, Gang He, Jinjia Zhou, Jie Lei, Weiying Xie, Yunsong Li, Yu Wing Tai,"Transcoded Video Restoration by Temporal Spatial Auxiliary Network", AAAI Conference on Artificial Intelligence (AAAI-21) accepted.

​

• Yujie Huang, Minge Jing, Jinjia Zhou, Yuhao Liu, Yibo Fan, "LCCStyle: Arbitrary Style Transfer with Low Computational Complexity", IEEE Transactions on Multimedia, vol. 25, pp.501-514, Nov. 2021.DOI: 10.1109/TMM.2021.3128058 (IF2021: 8.182) （マルチメディア処理分野のトップジャーナル)​).

​

• Jiayao Xu, Chen Fu, Zhiqiang Zhang, Jinjia Zhou. "Real-time FPGA Design for OMP Targeting 8K Image Reconstruction". In: International Conference on Multimedia Modeling. Springer, Cham, 2022. p. 518-529. [paper]

​

• Yang, Jian; Pham, Chi Do-Kim; Zhou, Jinjia. "JVCSR: Video Compressive Sensing Reconstruction with Joint In-Loop Reference Enhancement and Out-Loop Super-Resolution". In: International Conference on Multimedia Modeling. Springer, Cham, 2022. p. 455-466. [paper]

​

• Ho, Man M., and Jinjia Zhou. "Deep Photo Scan: Semi-Supervised Learning for dealing with the real-world degradation in Smartphone Photo Scanning." In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 1880-1889. 2022. [paper]

 

 

2021

​​

​

• Ho, Man M., Lu Zhang, Alexander Raake, and Jinjia Zhou. "Semantic-driven colorization." In European Conference on Visual Media Production, pp. 1-10. 2021.

​

• Rentao Wan, Jinjia Zhou, Bowen Huang, Hui Zeng, Yibo Fan, "APMC: Adjacent Pixels based Measurement Coding System for Compressively Sensed Images", IEEE Transactions on Multimedia. vol. 24, pp. 3558-3569, Aug. 2021. (IF2021: 8.182) （マルチメディア処理分野のトップジャーナル)

​​

• Ho Tan Nguyen, Pham Do Kim Chi, Jinjia Zhou, "SpeedDeblur: A Framework to speed up CNN-based Deblurring for HEVC compressed video", 2021 IEEE 23nd International Workshop on Multimedia Signal Processing (MMSP)
   

• Wenxin Yu，Xuewen Zhang，Yunye Zhang，Zhiqiang Zhang，Jinjia Zhou，“Blind Image Quality Assessment for a Single Image From Text-to-Image Synthesis”，IEEE Access, Vol.9, pp.94656-94667, Jul. 2021. (IF2021: 3.476)

​

• Gang He, Li Xu, Jie Lei, Weiying Xie, Yunsong Li, Yibo Fan, Jinjia Zhou, "Interlayer Restoration Deep Neural Network for Scalable High Efficiency Video Coding", IEEE Transactions on Circuits and Systems for Video Technology(TCSVT), 32(5), pp.3217-3232, Jul. 2021. (IF2021: 5.859) 

​

• C. D.K. Pham, J. Yang, and J. Zhou, "CSIE-M: Compressive Sensing Image Enhancement Using Multiple Reconstructed Signals for Internet of Things Surveillance Systems," in IEEE Transactions on Industrial Informatics, vol. 18, no. 2, pp. 1271-1281, Feb. 2022, DOI: 10.1109/TII.2021.3082498. (IF2020: 9.112).  [paper][code]

​​

• Ning Jiang, Jialiang Tang, Wenxin Yu, and Jinjia Zhou, "Local Feature Normalization", International Conference on Knowledge Science, Engineering and Management (KSEM 2021),  Tokyo, Japan, August  2021.​

​​

• Zhiqiang Zhang, Wenxin Yu, Ning Jiang, and Jinjia Zhou, “Text to Image Synthesis with Erudite Generative Adversarial Networks”, IEEE International Conference on Image Processing, pp. 2438-2442, 2021.

​​

• C. D. K. Pham, C. Fu, and J. Zhou, "Deep Learning based Spatial-Temporal In-loop filtering for Versatile Video Coding," 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021, pp. 1861-1865, DOI: 10.1109/CVPRW53098.2021.00206.

​

• Zhiqiang Zhang, Chen Fu, Jinjia Zhou, Wenxin Yu, and Niang Jiang, “Text to Image Synthesis based on Multi-Perspective Fusion”, The International Joint Conference on Neural Networks, pp. 1-8, 2021.

​

• Jirayu Peetakul, Jinjia Zhou, "Intra Prediction Based Measurement Coding Algorithm for Block-Based Compressive Sensing Images", IEEE Access, DOI: 10.1109/ACCESS.2021.3068579. Apr. 2021. (IF2019: 3.745) [paper]

​​

• Zhiqiang Zhang, Jinjia Zhou, Wenxin Yu, Ning Jiang, “DrawGAN: Text to Image Synthesis with Drawing Generative Adversarial Networks”, IEEE International Conference on Acoustics, Speach and Signal Processing, pp. 4195-4199. 2021.. [paper]

​​

• Rentao Wan, Jinjia Zhou, Bowen Huang, Hui Zeng, Yibo Fan, ""Measurement Coding Framework with Adjacent Pixels based Measurement Matrix for Compressively Sensed Images", IEEE International Conference on Acoustics, Speach and Signal Processing (ICASSP), Jun. 2021. [paper]​​

​​

• Pham Do Kim Chi, Jian Yang, Jinjia Zhou*, "CSIE-M: Compressive sensing image enhancement using multiple reconstructed signals for IoT surveillance systems", IEEE Transactions on Industrial Informatics (TII), 18(2), pp.1271-1281, May. 2021.  (IF2021: 11.648)
   

• Man M. Ho, Jinjia Zhou*, Gang He, "RR-DnCNN v2.0: Enhanced Restoration-Reconstruction Deep Neural Network for Down-Sampling Based Video Coding", IEEE Transactions on Image Processing (TIP), vol.30, pp.1702-1715, Jan. 2021. DOI:10.1109/TIP.2020.3046872. (SJR Q1, IF2021: 11.041) (画像処理分野の最高難度のジャーナル)) [paper][code]

 

• Man M. Ho, Jinjia Zhou, "Deep Preset: Blending and Retouching Photos with Color Style Transfer", 2021 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 2113-2121, Virtual, Hawaii, USA, Jan. 2021 (acceptance rate 35.4%). [paper][code]

​

• Jinjia Zhou, Victor Sanchez, Lu Zhang, Jianquan Liu, Jiu Xu, "Special Issue on Deep Learning Technologies for Internet of Video Things", IEEE Access, 2021. [paper]

​

• Qirui Gu, Peiqi Liu, Jinjia Zhou, Xiao Peng, Yimeng Zhang, "DRMS: Dim-light Robust Monocular Simultaneous Localization and Mapping", 2021 The International Conference on Computer, Control and Robotics (ICCCR), Virtual, Jan. 2021. (Best paper presentation) [paper]

​​

 2020

​​

• Jialiang Tang, Ning Jiang, Wenxin Yu, Jinjia Zhou, Liuwei Mai, "Two-Stage Model Compression and Acceleration: Optimal Student Network for Better Performance", IEEE Access, DOI:10.1109/ACCESS.2020.3040823, 26 Nov. 2020. (Impact Factor: 4.640) [paper]

​

• Bowen Huang, Jinjia Zhou, Xiao Yan, Ming'e Jing, Rentao Wan, Yibo Fan, "CS-MCNet: A Video Compressive Sensing Reconstruction Network with Interpretable Motion Compensation", Asian Conference on Computer Vision 2020 (ACCV), Virtual Tokyo. Nov. 2020. (acceptance rate 33%). [paper] [code]

​​

• Zhiqiang Zhang, Wenxin Yu, Jinjia Zhou, Xuewen Zhang, Jialiang Tang, Siyuan Li, Ning Jiang, Gang He, Gang He, and Zhuo Yang, "Customizable GAN: customizable image synthesis based on adversarial learning", The 27th International Conference on Neural Information Processing (ICONIP), Online, Nov. 2020. (acceptance rate 30.9%) [paper]

​

• Ning Jiang, Jialiang Tang, Zhiqiang Zhang, Wenxin Yu, Xin Deng, and Jinjia Zhou, "Search-and-Train: Two-Stage Model Compression and Acceleration", The 27th International Conference on Neural Information Processing (ICONIP), Online, Nov. 2020. (acceptance rate 30.9%) [paper]

​

• Thuy Thi Thu Tran, Jirayu Peetakul, Chi Do Kim Pham, Jinjia Zhou, "Bi-directional intra prediction based measurement coding for compressive sensing images", 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP), DOI: DOI: 10.1109/MMSP48831.2020.9287074, Sep. 2020. [paper]

​

• Jiayao Xu, Jirayu Peetakul, Muchen Li, Jinjia Zhou, "High-speed Compressed Sensing Reconstruction using Zigzag Ordering based Parallel Processing", International Conference on Image and Video Processing (ICIVP 2020), Oct. 2020.(Best presentaion

​​

• Zhiqiang Zhang, Wenxin Yu, Jinjia Zhou, Xuewen Zhang, Gang He, Zhuo Yang, "Customizable GAN: A Method for Image Synthesis of Human Controllable", IEEE Access, Vol. 8, No. 1, pp.108004-108017, DOI:10.1109/ACCESS.2020.3001070​​ (SJR Q1. Impact Factor:4.640) [paper]

​

• Siyuan Li, Lu Lu, Zhiqiang Zhang, Xin Cheng, Kepeng Xu, Wenxin Yu, Gang He, Jinjia Zhou, Zhuo Yang, "Interactive Separation Network for Image Inpainting", IEEE International Conference on Image Processing (ICIP2020), United Arab Emirates, Oct. 2020.

​

• Trinh Man Hoang, Jinjia Zhou, and Yibo Fan, “Image Compression with Encoder-Decoder Matched Semantic Segmentation,” 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA, USA, 2020, pp. 619-623, doi: 10.1109/CVPRW50498.2020.00088. [paper] [video]

​

• Man M. Ho, Jinjia Zhou, Gang He, Muchen Li, and Lei Li, "SR-CL-DMC: P-frame coding with Super-Resolution, Color Learning, and Deep Motion Compensation", The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops: 3rd Challenge on Learned Image Compression, Seattle, USA, June 2020. [paper] [video]

​​

• Gange He, Chang Wu, Lei Li, Jinjia Zhou, Xianglin Wang, Yunfei Zheng, Bing Yu, and Weiying Xie, "A Video Compression Framework Using an Overfitted Restoration Neural Network", The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops: 3rd Challenge on Learned Image Compression, Seattle, USA, June 2020. [paper]

​

• Huyen T. T. Bui, Man M. Ho, Xiao Peng, and Jinjia Zhou, "Japanese Coins and Banknotes Recognition for Visually Impaired People", The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops: VizWiz Grand Challenge Workshop, Seattle, USA, June 2020. (short paper).[video]

​

• Muchen Li, Jinjia Zhou, Satoshi Goto, “A configurable fixed-complexity IME-FME Cost ratio based Inter mode filtering method in HEVC encoding”, IIEEJ Transactions on Image Electronics and Visual Computing, Vol. 8, No. 1, page58-70 (2020.6). [paper]

​

• Jirayu Peetakul and Jinjia Zhou, "Temporal Redundancy Reduction in Compressive Video Sensing by using Moving Detection and Inter-Coding," 2020 Data Compression Conference (DCC), Snowbird, UT, USA, 2020, pp. 387-387, doi: 10.1109/DCC47342.2020.00052. [paper]

​​

• Man M. Ho, Gang He, Zheng Wang, and Jinjia Zhou*, "Down-Sampling Based Video Coding with Degradation-aware Restoration-Reconstruction Deep Neural Network", The 26th International Conference on Multimedia Modeling (MMM), Daejeon, Korea, Jan. 2020.DOI: 10.1007/978-3-030-37731-1_9 (Best Paper Runner-Up Award, Oral Acceptance Rate 23.39%, Top-2 Rate: 1.17%) [paper] [code]

​​

  2019

​

• Minh-Man Ho, Jinjia Zhou*, Yibo Fan, "Respecting low-level components of content with skip connections and semantic information in image style transfer," The 16th ACM SIGGRAPH European Conference on Visual Media Production, London, UK, Dec. 2019.​ DOI:10.1145/3359998.3369403 [paper] [code]

​​

• T. M. Hoang and J. Zhou, “B-DRRN: A Block Information Constrained Deep Recursive Residual Network for Video Compression Artifacts Reduction,” 2019 Picture Coding Symposium (PCS), Ningbo, China, 2019, pp. 1-5, doi: 10.1109/PCS48520.2019.8954521. [paper] [slides] [code]

​​

• Do Kim Chi Pham, Jinjia Zhou*, "Deep Learning-based Luma and Chroma Fractional Interpolation in Video Coding", IEEE Access, Vol. 7, pp. 112535-112543, Aug. 2019.  DOI: 10.1109/ACCESS.2019.2935378 (SJR Q1, Impact Factor:4.098) [paper]

​​

• Pham Do Kim Chi, Jinjia Zhou, “A Convolutional Neural Network for Fractional Interpolation in Video Coding ”, The International Symposium on Artificial Intelligence and Robotics (ISAIR 2019), Daegu, Korea, Aug. 2019. (Best Paper Nomination). [paper] [slides]

​

• Jirayu Peetakul, Jinjia Zhou, Koishi Wada, "A Measurement Coding System for Block-based Compressive Sensing Images by Using Pixel-Domain Features", IEEE Data Compression Conference (DCC 2019), Snowbird, USA, March 2019. DOI:10.1109/DCC.2019.00111  [paper] [poster] 

​​

  2018

​

• Li Guo, Dajiang Zhou, Jinjia Zhou, Shinji Kimura, Staoshi Goto, "Lossy Compression for Embedded Computer Vision Systems, "IEEE Access, Vol. 6, pp.39385-39397, Jul. 2018. (SJR Q1)

​​

• Jianbin Zhou, Jinjia Zhou, Li Guo, "Angular Intra Prediction Based Measurement Coding Algorithm for Compressively Sensed Image," IEEE International Conference on Multimedia & Expo Workshops (ICMEW 2018), San Diego, USA, July 2018.

​

• Shuping Zhang, Jinjia Zhou, Shinji Kimura,"3D Thermal Analysis for a 7-die Memory Stacked Motion Estimation Processor," IEEE/IEIE International Conference on Consumer Electronics Aisa (ICCE-Asia 2018), Jeju, Korea, June 2018.

 

• Li Guo, Dajiang Zhou, Jinjia Zhou, Shinji Kimura, "Sparseness Ratio Allocation and Neuron Re-Pruning for Neural Networks Compression," IEEE International Symposium on Circuits and Systems (ISCAS 2018), Florence, Italy, May 2018.

 

• Li Guo, Dajiang Zhou, Jinjia Zhou, Shinji Kimura, "Embedded Frame Compression for Energy-Efficient Computer Vision Systems," IEEE International Symposium on Circuits and Systems (ISCAS 2018), Florence, Italy, May 2018.

 

• Jinjia Zhou, Dajiang Zhou, Shuping Zhang, Shinji Kimura, and Satoshi Goto, "A Variable-Clock-Cycle-Path VLSI Design of Binary Arithmetic Decoder for H. 265/HEVC," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 28, No. 2, pp.556-560, Feb. 2018. (SJR Q1, IF2019: 6.051)

​

  2017

​

• Jinjia Zhou, Dajiang Zhou, Satoshi Goto, "100x Evolution of Video Codec Chips," 2017 ACM on International Symposium on Physical Design (ISPD 2017), pp. 121-122, Portland, Oregon, USA, March 2017.

 

• Shuping Zhang, Jinjia Zhou, Dajiang Zhou, Shinji Kimura, Satoshi Goto, "A 7-Die 3D Stacked 3840x2160@120 fps Motion Estimation Processor," IEICE Transactions on Electronics, Vol. E100-C, No.3, pp. 223-231, March 2017

 

• Dajiang Zhou, Shihao Wang, Heming Sun, Jianbin Zhou, Jiayi Zhu, Yijin Zhao, Jinjia Zhou, Shuping Zhang, Shinji Kimura, Takeshi Yoshimura, Satoshi Goto, "An 8K H.265/HEVC Video Decoder Chip With a New System Pipeline Design," IEEE Journal of Solid-State Circuits (JSSC), Vol. 52, No. 1, pp. 113 - 126, Jan. 2017.​ (SJR Q1)

 

  2015-2016

​

• Dajiang Zhou, Shihao Wang, Heming Sun, Jianbin Zhou, Jiayi Zhu, Yijin Zhao, Jinjia Zhou, Shuping Zhang, Shinji Kimura, Takeshi Yoshimura, and Satoshi Goto, "A 4Gpixel/s 8/10b H.265/HEVC video decoder chip for 8K Ultra HD applications," IEEE International Solid-State Circuits Conference (ISSCC), San Francisco, USA, pp. 266-267, February 2016.

 

• Jinjia Zhou, Dajiang Zhou, Jiayi Zhu, and Satoshi Goto, "A frame-parallel 2G pixel/s video decoder chip for UHDTV and 3DTV/FTV applications," IEEE Transactions on VLSI Systems (TVLSI), Vol. 23, No. 12, pp. 2768-2781, December 2015. (SJR Q2)

​

• Dajiang Zhou, Jinjia Zhou, Wei Fei, and Satoshi Goto, "Ultra-high-throughput VLSI architecture of H.265/HEVC CABAC encoder for UHDTV applications," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 25, No. 3, pp. 497-507, March 2015. (SJR Q1, IF2019: 6.051)

​

• Shuping Zhang, Jinjia Zhou, Dajiang Zhou, Shinji Kimura, and Satoshi Goto, "Low-power Motion Estimation Processor with 3D Stacked Memory," IEICE Transactions on Fundamentals, Vol. E98-A, No. 7, pp. 1431-1441, July 2015.

​

• Jinjia Zhou, Dajiang Zhou, and Satoshi Goto, "A Fixed-Complexity HEVC Inter Mode Filtering Algorithm Based on Distribution of IME-FME Cost Ratio," IEEE International Symposium on Circuits and Systems (ISCAS), Lisbon, Portugal, pp. 617-620, May 2015.

​

  2014

​

• Shuping Zhang, Jinjia Zhou, Dajiang Zhou, and Satoshi Goto, "A low power 720p motion estimation processor with 3D stacked memory," IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), Mexico, pp. 237-242, October 2014.

​

• Yijin Zhao, Jinjia Zhou, Dajiang Zhou and Satoshi Goto, "A 610 Mbin/s CABAC decoder for H.265/HEVC level 6.1 applications," IEEE International Conference on Image Processing (ICIP), pp. 1268-1272, Paris, France, October 2014.

​

• Dajiang Zhou, Li Guo, Jinjia Zhou, and Satoshi Goto, "Reducing power consumption of HEVC codec with lossless reference frame recompression," IEEE International Conference on Image Processing (ICIP), pp. 2120-2124, Paris, France, October 2014. Top 10% Paper Award.

​

• Jinjia Zhou, Dajiang Zhou, and Satoshi Goto, "Alternating asymmetric search range assignment for bidirectional motion estimation in H.265/HEVC and H.264/AVC," Journal of Visual Communication and Image Representation (JVCI), pp. 1275-1286, Jul. 2014. (SJR Q1)

​

• Dajiang Zhou, Jinjia Zhou, Gang He, and Satoshi Goto, "A 1.59Gpixel/s motion estimation processor with -211-to-211 search range for UHDTV video encoder," IEEE Journal of Solid-State Circuits (JSSC), Vol. 49, No. 4, pp. 827-837, April 2014. (SJR Q1, IF2019: 4.929)

​

• Gang He, Dajiang Zhou, Wei Fei, Zhixiang Chen, Jinjia Zhou, and Satoshi Goto, "High-performance H.264/AVC intra prediction architecture for ultra high definition video applications," IEEE Transactions on VLSI Systems (TVLSI), Vol. 22, No. 1, pp. 76-89, January, 2014.

​

  2013

​

• Jinjia Zhou, Dajiang Zhou, Wei Fei, and Satoshi Goto, "A high-performance CABAC encoder architecture for HEVC and H.264/AVC," IEEE International Conference on Image Processing (ICIP 2013), pp. 1568-1572, Melbourne, Australia, September 2013.

​

• Muchen Li, Jinjia Zhou, Dajiang Zhou, Xiao Peng, and Satoshi Goto, "A dual-mode deblocking filter design for HEVC and H.264/AVC," IEICE Transactions on Fundamentals, Vol. E96.A, No. 6, pp. 1366-1375, June 2013.

​

• Jinjia Zhou, Dajiang Zhou, Gang He, and Satoshi Goto, "A 1.59Gpixel/s motion estimation processor with -211-to-211 search range for UHDTV video encoder," Symposium on VLSI Circuits (VLSIC 2013), pp.287-288, Kyoto, Japan, Jun., 2013.

​

• Dajiang Zhou, Gang He, Wei Fei, Zhixiang Chen, Jinjia Zhou, and Satoshi Goto, "A 24.5-53.6pJ/pixel 4320p 60fps H.264/AVC intra-frame video encoder chip in 65nm CMOS," Asia and South Pacific Design Automation Conference (ASP-DAC 2013), Vol. 2, Yokohama, Japan, pp. 73-74, January, 2013, University Design Contest Finalist.

​

  2012

​

• Muchen Li, Jinjia Zhou, Xiao Peng, Dajiang Zhou, and Satoshi Goto, "De-blocking filer design for HEVC and H.264/AVC," Pacific Rim Conference on Multimedia (PCM 2012), Singapore, December 2012.

​

• Jinjia Zhou, Dajiang Zhou, and Satoshi Goto, "Interlaced asymmetric search range assignment for bidirectional motion estimation," IEEE International Conference on Image Processing (ICIP 2012), Orlando, USA, pp. 1557-1560, September 2012.

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• Gang He, Dajiang Zhou, Jinjia Zhou, and Satoshi Goto, "A 1991 Mpixels/s intra prediction architecture for Super Hi-Vision H.264/AVC encoder," European Signal Processing Conference (EUSIPCO 2012), Bucharest, Romania, pp. 1054-1058, August 2012.

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• Dajiang Zhou, Gang He, Wei Fei, Zhixiang Chen, Jinjia Zhou, and Satoshi Goto, "A 4320p 60fps H.264/AVC intra-frame encoder chip with 1.41Gbins/s CABAC,"  Symposium on VLSI Circuits (VLSIC 2012), Honolulu, USA, pp. 154-155, June 2012.

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• Dajiang Zhou, Jinjia Zhou, Jiayi Zhu, Peilin Liu, and Satoshi Goto, "A 2Gpixel/s H.264/AVC HP/MVC video decoder chip for Super Hi-Vision and 3DTV/FTV applications," IEEE International Solid-State Circuits Conference (ISSCC 2012), San Francisco, USA, pp. 224-226, February, 2012.

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  2011

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• Jinjia Zhou, Dajiang Zhou, Gang He, and Satoshi Goto, "A 16-65 cycles/MB H.264/AVC motion compensation architecture for quad-HD applications," European Signal Processing Conference (EUSIPCO 2011), Barcelona, Spain, pp. 728-733, August 2011.

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• Gang He, Dajiang Zhou, Jinjia Zhou, and Satoshi Goto, "A 530Mpixels/s intra prediction architecture for ultra high definition H.264/AVC encoder," IEICE Transactions on Electronics, Vol. E94-C, No. 4, pp. 419-427, April 2011.

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• Jinjia Zhou, Dajiang Zhou, Gang He, and Satoshi Goto, "Cache based motion compensation architecture for quad-HD H.264/AVC video decoder," IEICE Transactions on Electronics, Vol. E94-C, No. 4, pp. 439-447, April 2011.

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• Dajiang Zhou, Jinjia Zhou, Xun He, Jiayi Zhu, Ji Kong, Peilin Liu, and Satoshi Goto, "A 530 Mpixels/s 4096x2160@60fps H.264/AVC high profile video decoder chip," IEEE Journal of Solid-State Circuits (JSSC), Vol. 46, No. 4, pp. 777-788, April, 2011. (SJR Q1)

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  before 2010

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• Gang He, Dajiang Zhou, Jinjia Zhou, and Satoshi Goto, "Intra prediction architecture for H.264/AVC QFHD encoder," Picture Coding Symposium (PCS 2010), Nagoya, Japan, pp. 450-453, December 2010.

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• Jinjia Zhou, Dajiang Zhou, Gang He, and Satoshi Goto, "A bandwidth reduction scheme and its VLSI implementation for H.264/AVC motion vector decoding," Pacific Rim Conference on Multimedia (PCM 2010), Shanghai, China, pp. 52-61, September 2010.

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• Jinjia Zhou, Dajiang Zhou, Xun He, and Satoshi Goto, "A bandwidth optimized, 64 cycles/MB joint parameter decoder architecture for ultra high definition H.264/AVC applications," IEICE Transactions on Fundamentals, Vol. E93-A, No. 8, pp. 1425-1433, August 2010.

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• Xun He, Dajiang Zhou, Jinjia Zhou, and Satoshi Goto, "High profile intra prediction architecture for UHD H.264 decoder," IPSJ Transactions on System LSI Design Methodology, Vol. 3, No. 2, pp. 303-313, August 2010.

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• Dajiang Zhou, Jinjia Zhou, Xun He, Ji Kong, Jiayi Zhu, Peilin Liu, and Satoshi Goto, "System-level low power design for ultra high definition H.264/AVC video decoder," ACM International Symposium on Low Power Electronics and Design (ISLPED 2010), Austin, USA, August, 2010, Design Contest Award 3rd Place.

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• Dajiang Zhou, Jinjia Zhou, Xun He, Ji Kong, Jiayi Zhu, Peilin Liu, and Satoshi Goto, "A 530Mpixels/s 4096x2160@60fps H.264/AVC high profile video decoder chip,"  Symposium on VLSI Circuits (VLSIC 2010), Honolulu, USA, pp. 171-172, June, 2010, Best Student Paper Award.

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• Jinjia Zhou and Satoshi Goto, "Efficient VLSI architectures for ultra high definition H.264/AVC deblocking filter," Asia and South Pacific Design Automation Conference (ASP-DAC 2010), Student Forum, Taipei, Taiwan, Jan. 2010.

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• Dajiang Zhou, Jinjia Zhou, Jiayi Zhu, and Satoshi Goto, "A 48 cycles/MB H.264/AVC deblocking filter architecture for ultra high definition applications," IEICE Transactions on Fundamentals, Vol. E92-A, No. 12, pp. 3203-3210, December 2009.

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• Jinjia Zhou, Dajiang Zhou, Xun He, and Satoshi Goto, "A 64-cycle-per-MB joint parameter decoder architecture for ultra high definition H.264/AVC applications," ISPACS 2009, Kanazawa, Japan, pp. 49-52, December 2009.

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• Xun He, Dajiang Zhou, Jinjia Zhou, and Satoshi Goto, "A new architecture for high performance intra prediction in H.264 decoder," ISPACS 2009, Kanazawa, Japan, pp. 41-44, December 2009.

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• Jinjia Zhou, Dajiang Zhou, Xun He, and Satoshi Goto, "A high speed deblocking filter architecture for H.264/AVC,"
  ISOCC 2009, Busan, Korea, pp. 63-66, November 2009, invited special session paper.

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• Xun He, Dajiang Zhou, Jinjia Zhou, and Satoshi Goto, "High profile intra prediction architecture for H.264," ISOCC 2009, Busan, Korea, pp. 57-60, November 2009, invited special session paper.

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• Dajiang Zhou, Jinjia Zhou, and Satoshi Goto, "An efficient motion vector coding scheme based on prioritized reference decision," IEICE Transactions on Fundamentals, Vol. E92-A, No. 8, pp. 1978-1985, August 2009.

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• Dajiang Zhou, Zongyuan You, Jiayi Zhu, Ji Kong, Yu Hong, Xianmin Chen, Xuewen He, Chen Xu, Hang Zhang, Jinjia Zhou, Ning Deng, Peilin Liu, and Satoshi Goto, "A 1080p@60fps multi-standard video decoder chip designed for power and cost efficiency in a system perspective," Symposium on VLSI Circuits (VLSIC 2009), Kyoto, Japan, pp. 262-263, June, 2009.

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• Jinjia Zhou, Dajiang Zhou, Hang Zhang, Yu Hong, Peilin Liu, and Satoshi Goto, "A 136 cycles/MB, luma-chroma parallelized H.264/AVC deblocking filter for QFHD applications," IEEE International Conference on Multimedia and Expo (ICME 2009), NYC, USA, pp. 1134-1137, June 2009.

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• Dajiang Zhou, Jinjia Zhou, and Satoshi Goto, "Prioritized reference decision for efficient motion vector coding," IEEE International Symposium on Circuits and Systems (ISCAS 2009), Taipei, Taiwan, pp. 1649-1652, May 2009.