Home

Feng Yang, Principal Engineer (Director), GenAI, Google DeepMind

(LLM&VLM, Multimodal Generation & Understanding, Responsible AI, Computer Vision, Multimedia Processing and Communications)

email: dvcyang@gmail.com

Bio: Feng Yang is a Principal Engineer (Director) at GenAI, Google DeepMind, leading a team working on research and productionization of Gemini, Imagen and Veo. Feng's research interests include LLM&VLM, multimodal understanding & generation, responsible AI, computer vision, multimedia processing and communications. Feng published 54 research articles (including 23 CVPR, ICCV, ECCV, NeurIPS, TIP papers). He also won CVPR 2024 best paper award, CVPR 2022 best paper finalist. Feng held 50+ patents and some of them were sold to Rambus Inc. With his research work, he co-initiated many projects, served as tech lead for 130+ launches with Ads, YouTube, Cloud, Search, Photos, Pixel, Commerce, Play, etc. These launches significantly boosted productions' core metrics, for example, increased Google revenue by ~$1B/year and enabled another $xB/year, won 2 Google Tech Impact Awards, 1 Google DeepMind Tech Impact Award, 2 Google Reserach Tech Awards, 3 Ads Tech Impact Awards and 1 SAGE award, 20 Perfy Awards including 2 Editor's Choice and 2 Golden, and was also highlighted at Google's earning call. Most of the images/videos served by Google are processed by one or more algorithms developed by Feng and his team. Feng is currently SAE for TCI, AE for TIP. He was AE for TCI from 2020-2024. Feng was Lead AC for ICCV 2025, AC for NeurIPS 2025/2024, ICML 2025, ICLR 2026/2025/2024, CVPR 2020, WACV 2026.

Before Google, he was a postdoctoral researcher at Illumination&Imaging Lab, Robotics Institute, CMU, supervised by Prof. Srinivasa Narasimhan. He was a Research Assistant with Audiovisual Communications Laboratory, EPFL, advised by Prof. Martin Vetterli, President of EPFL and member the US National Academy of Engineering, and the Broadband Network and Digital Multimedia Laboratory, Tsinghua University, advised by Prof. Qionghai Dai, member of Chinese Academy of Engineering.

Feng Yang received the B.Eng. and M.Eng. degrees in automatic control from Tsinghua University, Beijing, China, in 2004 and 2007, respectively. He won Outstanding master thesis of Tsinghua University. He got Ph.D. degree in communication systems at the École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland in 2012. He won Fritz Kutter Award for best PhD thesis. During his study, he interned at Intel Research Center, Beijing advised by Eric Li and Nokia Research, Palo Alto, CA advised by Kari Pulli.

Academic Service:

Senior Associate Editor: IEEE Transactions on Computational Imaging 2024~
Area Chair: ICCV 2025 (Lead AC), NeurIPS 2025/2024, ICML 2025, ICLR 2026/2025/2024, CVPR 2020, WACV 2026
Associate Editor: IEEE Transactions on Image Processing 2020~, IEEE Transactions on Computational Imaging 2020~2024
Co-Organizer: ECCV 2020/ICCV 2021 Workshop - GigaVision: When Gigapixel Videography Meets Computer Vision
Industry Chair: International Conference on Computational Photography (ICCP) 2024
Publicity Chair: International Workshop on Emerging Mobile Sensing Technologies, Systems, and Applications in conjunction with Pervasive 2011, San Francisco, USA
PC Members: ECCV 2020 Workshop - AIM 2020 Advances in Image Manipulation workshop and challenges on image and video manipulation
Reviewer: IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Computational Imaging, CVPR 2021~2025, ECCV 2024, Siggraph 2024, ICML 2024, NeurIPS 2023, ICCV 2021, WACV 2021~2024, IJCAI 2019~2024, ICIP 2017~2023, ICASSP 2017~2023

Publications

PhD thesis

F. Yang, M. Vetterli and L. Sbaiz (Dirs.). Bits from Photons: Oversampled Binary Image Acquisition (Fritz Kutter award for best PhD thesis), EPFL, Lausanne, 2012. (Slides for PhD defense)

Journal Article

[7] I. Oguz, J. Ke, Q. Wang, F. Yang, M. Yildirim, N. U. Dinc, J.-L. Hsieh, C. Moser, D. Psaltis, Forward-Forward Training of an Optical Neural Network, Optics Letters, vol. 48, issue 20, pp. 5249-5252, 2023. (Editor's pick)

[6] X. Luo, Y. Li, H. Chang, C. Liu, P. Milanfar, F. Yang, DVMark: a deep multiscale framework for video watermarking, IEEE Trans. on Image Processing, 2023.

[5] J. Ke, T. Zhang, Y. Wang, P. Milanfar, F. Yang, MRET: Multi-resolution transformer for video quality assessment, Front. Signal Process., 2023.

[4] H. Talebi, D. Kelly, X. Luo, I. G. Dorado, F. Yang, P. Milanfar, and M. Elad, Better Compression With Deep Pre-Editing, IEEE Trans. on Image Processing, vol. 30, pp. 6673-6685, 2021.

[3] F. Yang and J. Suo, Light field: theory, acquisition and applications. Communications of China Computer Federation, vol. 8, no. 8, pp. 13-19, 2012 (In Chinese).

[2] F. Yang, Y.M. Lu, L. Sbaiz and M. Vetterli, Bits from Photons: Oversampled Image Acquisition Using Binary Poisson Statistics , IEEE Trans. on Image Processing , vol. 21, issue 4, pp. 1421-1436, 2012.

[1] G. Ding, F. Yang, Q. Dai, and W. Xu. A distributed source coding theorem based region of interest image compression method. IEE Electronics Letters, vol. 41, no. 22, pp. 1215-1217, Oct. 2005.

Conference paper

[49] Y. Xu, S. Xie, Z. Li, H. Shadmany, Y. Li, L. Sbaiz, M. Wang, J. Ke, J. Lezama, H. Qi, H. Zhang, J. Berent, M.-H. Yang, I. Essa, J.-B. Huang, F. Yang, HALO: Human-Aligned End-to-end Image Retargeting with Layered Transformations, arXiv 2025.

[48] S. H. Lee, J. Jiang, Y. Xu, Z. Li, J. Ke, Y. Li, J. He, S. Hickson, K. Datsenko, S. Kim, M.-H. Yang, I. Essa, F. Yang, Cropper: Vision-Language Model for Image Cropping through In-Context Learning, CVPR 2025.

[47] X. Xing, A. Saha, J. He, S. Hao, P. Vicol, M. Ryu, G. Li, S. Singla, S. Young, Y. Li, F. Yang, D. Ramachandran, Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation, CVPR 2025, Highlight.

[46] K. Lee, X., Q. Wang, J. He, J. Ke, M.-H. Yang, I. Essa, J. Shin, F. Yang*, Yinxiao Li*, Calibrated Multi-Preference Optimization for Aligning Diffusion Models, CVPR 2025.

[45] Y. Jang, H. Park, F. Yang, H. Ko, E. Choo, S. Kim, 3D-GSW: 3D Gaussian Splatting for Robust Watermarking, CVPR 2025.

[44] I. Oguz, N. Dinc, M. Yildirim, J. Ke, I. Yoo, Q. Wang, F. Yang*, C. Moser*, D. Psaltis*, Optical Diffusion Models for Image Generation, NeurIPS 2024.

[43] W. Zhu, K. Ye, J. Ke, J. Yu, L. Guibas, P. Milanfar, F. Yang, ArtVLM: Attribute Recognition with Image-Conditioned Prefix Language Modeling, ECCV 2024.

[42] S. Lee, Y. Li, J. Ke, I. Yoo, H. Zhang, J. Yu, Q. Wang, F. Deng, G. Entis, J. He, G. Li, S. Kim, I. Essa, F. Yang, Parrot: Pareto-optimal multi-reward reinforcement learning framework for text-to-image generation, ECCV 2024, Oral.

[41] Y. Liang, J. He, G. Li, P. Li, A. Klimovskiy, N. Carolan, J. Sun, J. Pont-Tuset, S. Young, F Yang., J. Ke, K. Dvijotham, K. M. Collins, Y. Luo, Y. Li, K. J Kohlhoff, D. Ramachandran, and V. Navalpakkam, Rich Human Feedback for Text-to-Image Generation, CVPR 2024, Best Paper Award.

[40] Y. Jang, D. Lee, M. Jang, J. Kim, F. Yang, S. Kim, WateRF: Robust Watermarks in Radiance Fields for Protection of Copyrights, CVPR 2024.

[39] S. H. Lee, S. Kim, I. Yoo, F. Yang, D. Cho, Y. Kim, H. Chang, J. Kim, S. Kim, Soundini: Sound-Guided Diffusion for Natural Video Editing, arXiv 2023.

[38] U. Joshi, Y. Chen, I. Yoo, S. Li, F. Yang, D. Mukherjee, Switchable CNNs for in-loop restoration and super-resolution for AV2, Proc. SPIE 12674, Applications of Digital Image Processing XLVI, 2023.

[37] L. Han, Y. Li, H. Zhang, P. Milanfar, D. Metaxas, F. Yang, Svdiff: Compact parameter space for diffusion fine-tuning, ICCV 2023.

[36] J. Ke, K. Ye, J. Yu, Y. Wu, P. Milanfar, F. Yang, VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretraining, CVPR 2023.

[35] X. Luo, M. Goebel, E. Barshan, F. Yang, LECA: A learned approach for efficient cover-agnostic watermarking, EI 2023.

[34] A. Lahiri, J. Ke, D. Vlasic, X. Yao, T. Yu, F. Yang, Identifying Document Images with Glare Using Global and Localized Feature Fusion, ICIP 2022.

[33] Y. Wang, J. G. Yim, N. Birkbeck, J. Ke, H. Talebi, X. Chen, F. Yang, B. Adsumilli, Revisiting the efficiency of UGC video quality assessment, ICIP 2022.

[32] Z. Tu, H. Talebi, H. Zhang, F. Yang, P. Milanfar, A. Bovik, and Y. Li, MaxViT: Multi-Axis Vision Transformer, ECCV 2022.

[31] I. Yoo, H. Chang, X. Luo, O. Stava, C. Liu, P. Milanfar, F. Yang, Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings, CVPR 2022.

[30] Z. Tu, H. Talebi, H. Zhang, F. Yang, P. Milanfar, A. Bovik, and Y. Li, MAXIM: Multi-Axis MLP for Image Processing, CVPR 2022, Oral, Best paper finalist.

[29] J. Ke, Q. Wang, Y. Wang, P. Milanfar, and F. Yang, MUSIQ: Multi-scale Image Quality Transformer, ICCV 2021.

[28] Y. Li, P. Jin, F. Yang, C. Liu, M.-H. Yang, and P. Milanfar, COMISR: Compression-Informed Video Super-Resolution, ICCV 2021, Oral.

[27] J. C. Mier, E. Huang, H. Talebi, F. Yang, and P. Milanfar, Deep Perceptual Image Quality Assessment For Compression, ICIP 2021.

[26] X. Fan, Q. Wang, J. Ke, F. Yang, B. Gong, and M. Zhou, Adversarially Adaptive Normalization for Single Domain Generalization, CVPR 2021.

[25] Y. Wang, J. Ke, H. Talebi, J. G. Yim, N. Birkbeck, B. Adsumilli, P. Milanfar, and F. Yang, Rich features for perceptual quality assessment of UGC videos, CVPR 2021.

[24] X. Luo , H. Talebi, F. Yang, M. Elad, and P. Milanfar, The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study, DCC 2021.

[23] Q. Wang, J. Ke, J. Greaves, G. Chu, G. Bender, L. Sbaiz, A. Go, A. Howard, M.-H. Yang, J. Gilbert, P. Milanfar and F. Yang, Multi-path Neural Networks for On-device Multi-domain Visual Classification, WACV 2021.

[22] Y. Wang, H. Talebi, F. Yang, J. G. Yim, N. Birkbeck, B. Adsumilli and P. Milanfar, Video transcoding optimization based on input perceptual quality, Proc. SPIE 11510, Applications of Digital Image Processing XLIII, 1151015, August 21, 2020.

[21] X. Zhu, H. Talebi, X. Shi, F. Yang, and P. Milanfar, Super-Resolving Commercial Satellite Imagery Using Realistic Training Data, ICIP 2020.

[20] I. Yoo, X. Luo, Y. Wang, F. Yang, and P. Milanfar, GIFnets: Differentiable GIF Encoding Framework, CVPR 2020.

[19] X. Luo , R. Zhan, H. Chang , F. Yang , and P. Milanfar, Distortion Agnostic Deep Watermarking, CVPR 2020.

[18] J. Zhang, F. Yang, T. Vogelsang, D. Stork and M. Vetterli. Multichannel sampling of low light scenes with unknown shifts , In Proc. of IEEE International Conference on Image Processing , Melbourne, Australia, Sep. 15-18, 2013.

[17] F. Yang, and M. Vetterli. Oversampled noisy binary image sensor. In Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, Vancouver, May 26-31, 2013.

[16] Y. Wen, Z. Liu, W. Shi, Y. Jiang, A. Cheng, F. Yang and A. Kohar. Support for power efficient mobile video playback on simultaneous hybrid display. In Proc. of the 10th IEEE Symposium on Embedded Systems for Real-time Multimedia, Tampere, Oct. 2012.

[15] Z. Chen, F. Yang, A. Lindner, G. Barrenetxea and M. Vetterli. How is the Weather: Automatic Inference from Images, In Proc. of IEEE International Conference on Image Processing, Orlando, USA, Sept. 30-Oct. 3, 2012.

[14] Y. Peng, F. Yang, Q. Dai, W. Xu and M. Vetterli. Super-resolution from unregistered aliased images with unknown scalings and shifts, In Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, Kyoto, Japan, May 25-30, 2012.

[13] W. Shi, J. Yang, Y. Jiang, F. Yang and Y. Xiong. SenGuard: Passive User Identification on Smartphones Using Multiple Sensors, In Proc. of the 7th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, Shanghai, China, 2011.

[12] F. Yang, L. Sbaiz, E. Charbon, Y. Lu, S. Süsstrunk and M. Vetterli, The Gigavision Camera, Presented at: IEEE International Conference on Computational Photography, MIT, Boston, Massachusetts, USA, March 28-30, 2010.

[11] F. Yang, Y.M. Lu, L. Sbaiz and M. Vetterli, An Optimal Algorithm for Reconstructing Images from Binary Measurements, In Proc. of IS&T/SPIE Electronic Imaging, Computational Imaging VIII, 2010.

[10] F. Yang, L. Sbaiz, E. Charbon, S. Süsstrunk and M. Vetterli, On Pixel Detection Threshold in the Gigavision Camera, In Proc. of IS&T/SPIE Electronic Imaging, Digital Photography VI, Vol. 7537, 2010.

[9] F. Yang, L. Sbaiz, E. Charbon, S. Süsstrunk and M. Vetterli, Image Reconstruction in the Gigavision Camera, IEEE 12th International Conference on Computer Vision, Ninth Workshop on Omnidirectional Vision, Camera Networks and Non-classical Cameras, pp. 2212-2219, 2009.

[8] L. Sbaiz, F. Yang, E. Charbon, S. Süsstrunk and M. Vetterli, The Gigavision Camera, In Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 1093-1096, 2009.

[7] G. Ding and F. Yang. A distributed video coding scheme based on denoising techniques. In Proc. of 13th Int. Multimedia Modeling Conference, LNCS 4351, pp.237-246, Singapore, Jan. 2007.

[6] C. Xue, L. Li, F. Yang, P. P. Wang, T. Wang, Y. Zhang, and Y. Sun. Automated home video editing: A multi-core solution. In Proc. of ACM 15th Int. Conference on Multimedia, pp.453-454, Augsburg, Sep. 2007.

[5] F. Yang, Q. Dai, and G. Ding. Multi-view images coding based on multiterminal source coding. In Proc. of IEEE Int. Conference on Acoustics, Speech and Signal Processing, pp.1037-1040, Honolulu, Apr. 2007.

[4] F. Yang, G. Ding, Q. Dai, and Y. Yin, Wavelet based scalable Wyner-Ziv video coding, In Proc. of Int. Picture Coding Symposium, Beijing, Apr. 2006.

[3] G. Ding, Q. Dai, Y. Yin, and F. Yang, Scalable video coding based on Wyner-Ziv framework, In Proc. of IEEE Visual Communications and Image Processing, Beijing, Jul. 2005.

[2] G. Ding, Q. Dai, F. Yang, and Y. Yin, A new region-of-interest image compression method based on Wyner-Ziv coding, In Proc. of IEEE Visual Communications and Image Processing, Beijing, Jul. 2005.

[1] F. Yang, G. Ding, Q. Dai and Y. Yin, Adaptive key frame selection Wyner-Ziv video coding, In Proc. of IEEE 7th Workshop on Multimedia Signal Processing, Shanghai, Oct. 2005.

Patent

[31] Junjie Ke, Tianhao Zhang, Yilin Wang, Peyman Milanfar, Feng Yang, Multi-resolution Transformer for Video Quality Assessment, US20250173821A1.

[30] Dake He, Tianhao Zhang, Elnaz Barshan Tashnizi, Xiyang Luo, Huiwen Chang, Feng Yang, Ryan Matthew Haggarty, Item validation based on visually imperceptible waterpark decoding, US12340436B2.

[29] Yinxiao Li, Feng Yang, Peyman Milanfar, Han Zhang, Zhengzhong Tu, Hossein Talebi, Multi-Axis Vision Transformer, US20250022269A1.

[28] Keren Ye, Yicheng Zhu, Junjie Ke, Jiahui Yu, Leonidas John Guibas, Peyman Milanfar, Feng Yang, Attribute Recognition with Image-Conditioned Prefix Language Modeling, US20250054322A1.

[27] Zhengzhong Tu, Yinxiao Li, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Machine Learning Models Featuring Resolution-Flexible Multi-Axis Attention Blocks, US20250069382A1.

[26] Yinxiao Li, Peyman Milanfar, Feng Yang, Ce Liu, Ming-Hsuan Yang, Pengchong Jin, Compression-Informed Video Super-Resolution, US20240022760A1.

[25] Xiyang Luo, Feng Yang, Ce Liu, Huiwen Chang, Peyman Milanfar, Yinxiao Li, Machine-Learned Models for Imperceptible Message Watermarking in Videos, US20240020788A1.

[24] Qifei Wang, Junjie Ke, Feng Yang, Boqing GONG, Xinjie Fan, Neural networks with adaptive standardization and rescaling, US20240232572A1.

[23] Xiyang Luo, Feng Yang, Elnaz Barshan Tashnizi, Dake He, Ryan Matthew Haggarty, Michael Gene Goebel, End-to-end watermarking system, US20230362399A1.

[22] Dake He, Tianhao Zhang, Elnaz Barshan Tashnizi, Xiyang Luo, Huiwen Chang, Feng Yang, Ryan Matthew Haggarty, Zoom agnostic watermark extraction, US20230325961A.

[21] Yilin Wang, Balineedu Adsumilli, Junjie Ke, Hossein Talebi, Joong Yim, Neil Birkbeck, Peyman Milanfar, Feng Yang, Methods, systems, and media for determining perceptual quality indicators of video content items, US20230319327A1.

[20] Qifei Wang, Junjie Ke, Grace Chu, Gabriel Mintzer Bender, Luciano Sbaiz, Feng Yang, Andrew Gerald Howard, Alec Michael Go, Jeffrey M Gilbert, Peyman Milanfar, Joshua William Charles Greaves, Systems and Methods for Generation of Machine-Learned Multitask Models, US20230267307A1.

[19] Junjie Ke, Feng Yang, Qifei Wang, Yilin Wang, Peyman Milanfar, Multi-scale transformer for image analysis, US20230222623A1.

[18] Innfarn Yoo, Xiyang Luo, Feng Yang, Ondrej Stava, Systems and Methods for Message Embedding in Three-Dimensional Image Data, US20230214953A1.

[17] Xiyang Luo, Feng Yang, Hossein Talebi, Generating quantization tables for image compression, US 2023/0130410 A1.

[16] Yilin Wang, Balineedu Adsumilli, Feng Yang, Debanding Using A Novel Banding Metric, US 2023/0131228 A1.

[15] Ruohan Zhan, Feng Yang, Xiyang Luo, Peyman Milanfar, Huiwen Chang, Ce Liu, Image watermarking, US 2023/0111326 A1.

[14] Qifei Wang, Alexander Kuznetsov, Alec Michael Go, Grace Chu, Eunyoung Kim, Feng Yang, Andrew Gerald Howard, Jeffrey M Gilbert, Systems and Methods for Improved Computer Vision in On-Device Applications, US 2023/0091374 A1.

[13] Xiyang Luo, Innfarn Yoo, Feng Yang, Deep palette prediction, US 2023/0053317 A1.

[12] Yilin Wang, Hossein Talebi, Peyman Milanfar, Feng Yang, Balineedu Adsumilli, Systems and Techniques for Retraining Models for Video Quality Assessment and for Transcoding Using the Retrained Models, US 2022/0415039 A1.

[11] Innfarn Yoo, Feng Yang, Xiyang Luo, Watermark-Based Image Reconstruction, US 2022/0335560 A1.

[10] Catherine Shyu, Xiyang Luo, Feng Yang, Junjie Ke, Yicong Tian, Chao-Hung Chen, Xia Li, Luying Li, Wenjing Kang, Shun-Chuan Chen, Evaluating visual quality of digital content, US 2022/0301141 A1.

[9] Innfarn Yoo, Xiyang Luo, Feng Yang, Encoders for Improved Image Dithering, US 2021/0304445 A1.

[8] P. Milanfar, F. Yang, S. Choi, Adaptive DCT Sharpener, US 2020/0186836 A1.

[7] F. Yang, P. Milanfar, Y. Shen, J. Wang, Methods and apparatus to reduce compression artifacts in images, US 10,083,499 B1.

[6] F. Yang, Y. Lu, M. Vetterli, Method, apparatus and system for image acquisition and conversion, WO 2011089165, US 8,319,855 B2.

[5] F. Yang, Y. Lu, M. Vetterli, Image acquisition using oversampled one-bit poisson statistics, US 9,001,231 B2.

[4] W.D. Shi, J. Yang, F. Yang, Y.G. Xiong. Apparatus and methods of passive user identification using multiple sensing devices on a mobile computing system, US 20120167170 A1.

[3] Q. Dai, F. Yang, and G. Ding, A method for video compression supporting random access video playback, CN 101005622.

[2] Q. Dai, F. Yang, and G. Ding, A method for robust image compression based on distributed source coding, CN 1988670.

[1] G. Ding, Q. Dai, Z. Yu, and F. Yang, A method for robust video coding without prediction circle, CN 1889687.

Defensive Publication

[1] F. Yang, Y. Tian, X. Li, P. Milanfar, J. Wang, Adaptive Image Transcoding, 2020.

Report

[1] F. Yang, Y.M. Lu, L. Sbaiz and M. Vetterli, Bits from Photons: Oversampled Image Acquisition Using Binary Poisson Statistics , Ecole Polytechnique Fédérale de Lausanne, Tech. Rep. 166345, Jun. 2011.

Hosted Interns

Xun Cai (MIT)
Jie Feng (Columbia University)
Brent Edmunds (UCLA)
Zeyu Wang (Yale)
Ruizhou Ding (CMU)
Ruohan Zhan (Stanford)
Eddie Huang (UIUC)
Reyhane Askari Hemmat (Mila)
Ligong Han (Rutgers University)
Seunghyun Lee (Korea University)
Yiran Xu (University of Maryland)

Teaching assistant

Statistical signal processing and applications, spring~2010
Digital photography, spring~2009
Color imaging, autumn~2008

Project supervisor

Master thesis project

[1] Junjun Zhang, Multi-frame imaging system, fall~2012

Master semester project

[7] Céline Heldner, See through scattering, spring~2013

[6] Fréjaville Camille Chloé Emmeline, Visual tour: scene summarization for a city, fall~2012

[5] Sergiu Gaman, Video stabilization using Kinect camera, spring~2012

[4] Uday Takyar, Mobile phone as an image scanner, fall~2011

[3] Ljupce Nikolov, Video stabilization, co-advised with Yigang Peng from Tsinghua University, fall~2011

[2] Alexandre Chappuis, Tag your memory with colors: Semi-automatic recoloring on interested objects via hypergraph learning, co-advised with Li Pu from EPFL, fall~2011

[1] Jonathan Pittet, Mobile phone as an image scanner, co-advised with Kari Pulli from Nokia, spring~2011

Page updated

Google Sites

Report abuse