We are an inter-disciplinary team of researchers working in visual computing, in particular, computer graphics and computer vision. Current areas of focus include 3D and robotic vision, 3D printing and content creation, animation, AR/VR, geometric and image-based modelling, machine learning, natural phenomenon, and shape analysis. Our research works frequently appear in top venues such as SIGGRAPH, CVPR, and ICCV (we rank #12 in the world in terms of top publications in visual computing, as of 1/2018) and we collaborate widely with the industry and academia (e.g., Adobe Research, Google, MSRA, Princeton, Stanford, and Washington). Our faculty and students have won numerous honours and awards, including FRSC, Alain Fournier Best Thesis Award, Google Faculty Award, TR35@Singapore, NSERC Discovery Accelerator, and six best paper awards from ECCV, SCA, SGP, etc. Gruvi alumni went on to take up faculty positions in Canada, the US, and Asia, while others now work at companies including Apple, EA, Facebook, Google, IBM, and Microsoft.
July 22, 2018
Congratulations to all SFU researchers that were able to have an impressive count of 12 papers accepted at the European Conference on Computer Vision 2018 (ECCV 2018)! ECCV is considered, together with ICCV and CVPR, one of the top level conferences in computer vision. Here is the full list of accepted papers with SFU co-authors: ●“Hierarchical Relational Networks for Group Activity Recognition and Retrieval” by Mostafa Ibrahim, Simon Fraser University; Greg Mori, Simon Fraser University;●“Neural Procedural Reconstruction for Residential Buildings” by Huayi Zeng, Washington University in St.Louis; Jiaye Wu, Washington University in St.Louis; Yasutaka Furukawa, Simon Fraser University;●“IM2Hand3D: Leveraging Multi-task Network for 3D Hand Pose Estimation from a Color Image” by Xiaoming Deng, Chinese Academy of Sciences; Wenyong Zheng, Chinese Academy of Sciences ; Yinda Zhang, Princeton University; Jian Shi, Chinese Academy of Sciences ; Ping Tan, Simon Fraser University; Liang Chang, Beijing Normal University; Yuying Zhu, Chinese Academy of Sciences;●“FloorNet: A Unified Framework for Floorplan Reconstruction from 3D Scans” by Chen Liu, Washington University in St. Louis; Jiaye Wu, Washington University in St.Louis; Yasutaka Furukawa, Simon Fraser University;●“Probabilistic Video Generation using Holistic Attribute Control” by Jiawei He, Simon Fraser University; Andreas Lehrmann, Facebook; Joe Marino, California Institute of Technology; Greg Mori, Simon Fraser University; Leonid Sigal, University of British Columbia;●“Constraints Matter in Deep Neural Network Compression” by Changan Chen, Simon Fraser University; Fred Tung, Simon Fraser University; Naveen Vedula, Simon Fraser University; Greg Mori, Simon Fraser University;●“Characterize Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation” by CHAOWEI XIAO, University of Michigan, Ann Arbor; Ruizhi Deng, Simon Fraser University; Bo Li, University of Illinois at Urbana Champaign; Fisher Yu, UC Berkeley; mingyan liu, university of Michigan, Ann Arbor; Dawn Song, UC Berkeley;●“Faces as Lighting Probes via Unsupervised Deep Highlight Extraction” by Renjiao Yi, Simon Fraser University; Chenyang Zhu, Simon Fraser University; Ping Tan, Simon Fraser University; Stephen Lin, Microsoft Research;●“Sparsely Aggregated Convolutional Networks” by Ligeng Zhu, Simon Fraser University; Ruizhi Deng, Simon Fraser University; Michael Maire, Toyota Technological Institute at Chicago; Zhiwei Deng, Simon Fraser University; Greg Mori, Simon Fraser University; Ping Tan, Simon Fraser University;●“RIDI: Robust IMU Double Integration” by Hang Yan, Washington University in St. Louis; Qi Shan, Zillow Group; Yasutaka Furukawa, Simon Fraser University;●“Object Level Visual Reasoning in Videos” by Fabien Baradel, LIRIS; Natalia Neverova, Facebook AI Research; Christian Wolf, INSA Lyon, France; Julien Mille, INSA Centre Val de Loire; Greg Mori, Simon Fraser University.●“SketchyScene: Richly-Annotated Scene Sketches” by Changqing Zou, University of Maryland (UMD); Qian Yu, Queen Mary University of London; Ruofei Du, UMD; Haoran Mo, sun yat sen university; Yi-Zhe Song, Queen Mary University of London; Tao Xiang, Queen Mary, University of London, UK; Chengying Gao, sun yat sen university; Baoquan Chen, Shandong University; Hao Zhang, SFU.
May 18, 2018
GrUVi welcomes three new visiting students this summer: Manas Bhargave, IIT Bombay undergrad and visiting under MITACS-IIT; Ruiqi Ni, an undergrad student from University of Science and Technology (USTC) China and Chen Song, SFU-ZJU DDP student under USRA. Welcome to GrUVi!
May 17, 2018
Three papers co-authored by GrUVi members have been accepted at SIGGRAPH 2018: P2P-NET: Bidirectional Point Displacement Net for Shape Transform, Predictive and Generative Neural Networks for Object Functionality, and DSCarver: Decompose-and-Spiral-Carve for Subtractive Manufacturing. P2P-NET was first-authored by GrUVi’s PhD student Kangxue Yin. For more details, please visit the publications page.
May 16, 2018
Richard and Ping give talks at “Third SFU-ZJU Joint Symposium on Big Data and Visual Computing”. The Third Joint Symposium on Big Data and Visual Computing Research is a forum where researchers and students from the two universities will meet, exchange ideas, and explore opportunities.