Talks

• ECCV SyntheticData4CV Workshop: "Exploring Synthetic Data for Vision Foundation Models", Sep. 2024.
• ECCV LSVOS Workshop: "Exploring Large-Scale Data for X-D Visual Understanding", Sep. 2024.
• Visual Intelligence International Scholars Academic Frontier Seminar: "Vision Foundation Models in 2.5D and 3D", Sep. 2024.
• CVPR Area Chair Workshop: "Exploring Pathways to 3D Foundation Models", Jun. 2024.
• CVPR Point Cloud Tutorial: "Greetings to Modern Point Cloud Transformers", Jun. 2024.
• VALSE 2024: "Annual Progress Report of Vision Foundation Models", May 2024.
• HKU-Shanghai AILab Workshop: "Personal Thoughts on the Future of Visual Intelligence", Apr. 2024.
• Apple Research: "Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data", Apr. 2024.
• CUHK Multi-Modal Symposium: "Exploring Pathways to 3D Foundation Models", Apr. 2024.
• China3DV: "Exploring Pathways to 3D Foundation Models", Apr. 2024.
• Shanghai AILab: "Towards Unified Perception and Reasoning for Autonomous Systems", Dec. 2023.
• Huawei (Hong Kong): "Exploring Pathways to 3D Foundation Models", Sep. 2023.
• Adobe Research: "AnyDoor: Zero-shot Object-level Image Customization", Jul. 2023.
• HUST: "Towards Scalable and Generalizable Intelligent Visual Scene Understanding", Jul. 2023.
• Huawei (Hong Kong): "Towards Open-world Object Detection and Image Segmentation", Jul. 2023.
• CVPR VSP Workshop: "Towards Open-world Object Detection and Image Segmentation", Jun. 2023.
• VALSE Autonomous Driving Workshop: "3D Scene Understanding: from Fundamental Design to Representation Learning and Future Frontiers", Jun. 2023.
• Huawei Noah's Ark Lab (Hong Kong): "3D Scene Understanding: from Fundamental Design to Representation Learning and Future Frontiers", Mar. 2023.
• HKUST (GZ): "3D Scene Understanding: from Fundamental Design to Representation Learning and Future Frontiers", Mar. 2023.
• International Digital Economy Academy (IDEA): "Towards Unified Scene Understanding: Representation, Operator and Framework", May 2022.
• VALSE Webinar: "Scene Understanding in 3D and 2D-3D", Apr. 2022.
• AI Time Young Scientist: "Towards Unified Scene Understanding: Representation, Operator and Framework", Apr. 2022.
• MIT CSAIL: "Towards Unified Scene Understanding: Representation, Operator and Framework", Nov. 2021.
• MIT CSAIL: "Advancing Visual Intelligence via Neural System Design", Oct. 2021.
• ICCV VSP Workshop, "Towards Unified Scene Understanding: Representation, Operator and Framework", Oct. 2021.
• University of Oxford, Apr. 2021.
• Imperial College London, Mar. 2021.
• University College London, Mar. 2021.
• Max Planck Institute for Informatics, Mar. 2021.
• King Abdullah University of Science and Technology, Mar. 2021.
• University of Southern California, Mar. 2021.
• Tsinghua University, Mar. 2021.
• The Hong Kong University of Science and Technology, Guangzhou, Mar. 2021.
• Microsoft Research: "Advancing Visual Intelligence via Neural System Design", Mar. 2021.
• The University of Hong Kong, Feb. 2021.
• The Chinese University of Hong Kong, Shenzhen, Feb. 2021.
• National University of Singapore, Jan. 2021.
• Nanyang Technological University, Jan. 2021.
• Peking University, Dec. 2020.
• Apple Research: "Pixel-Level Scene Understanding with Segmentation", Nov. 2020.
• Intel Intelligent Systems Lab: "Point Transformer", Oct. 2020.
• Huawei Research UK: "Exploring Self-attention for Image Recognition", Oct. 2020.
• University of Oxford: "Pixel-Level Scene Understanding with Segmentation", Sep. 2020.
• JIANGMEN: "Exploring Self-attention for Image Recognition", Jul. 2020.
• Google Research: "Pixel-Level Scene Understanding with Segmentation", Feb. 2020.
• MIT CSAIL: "Pixel-Level Scene Understanding with Segmentation", Jun. 2019.
• UC Berkeley ICSI: "Pixel-Level Scene Understanding with Segmentation", Jun. 2019.
• UC Berkeley BAIR: "Pixel-Level Scene Understanding with Segmentation", Jun. 2019.
• VALSE Webinar: "Pixel-Level Image Understanding with Semantic Segmentation and Panoptic Segmentation", May 2019.
• Intel Intelligent Systems Lab: "Self-attention Networks for Image Recognition", May 2019.
• Intel Intelligent Systems Lab: "Image Segmentation with Application", Jan. 2019.
• Uber ATG: "Unified Panoptic Segmentation Network (UPSNet): A Unified Framework for Image Understanding", Aug. 2018.
• CVPR WAD Workshop: "IBN-PSANet: Winning WAD Drivable Area Challenge", Jun. 2018.
• VALSE Webinar: "PSPNet and ICNet: Semantic Segmentation with High Accuracy and High Efficiency", Jul. 2017.
• Adobe Bay Area Research Showcase: "Compositing-aware Image Search", Jul. 2017.
• ECCV ILSVRC Workshop: "Understanding Scene in the Wild", Oct. 2016.