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QueryInst: Instances as Queries, ICCV 2021
UDOLO 5-minutes Introduction Video (ICCV 2021)
[ICRA 2020] 6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints
Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation
SPEC: Seeing People in the Wild with an Estimated Camera (ICCV 2021)
AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds (ICCV 2021 Oral)
6D Object Pose Regression via Supervised Learning on Point Clouds (ICRA2020 Presentation)
iCaps: Iterative Category-level Object Pose and Shape Estimation
[ICCV 2021] Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering
Probabilistic Articulated Object Tracking
ICCV 2021 Paper: Spatially Conditioned Graphs for Detecting Human-Object Interactions
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Last Updated: October 4, 2026
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Summary
Project: yijiaweng.github.io/ In this work, we tackle the problem of Authors: Xiaolong Li, He Wang, Li Yi, Leonidas J. Guibas, A. Lynn Abbott, Shuran Song Description: This paper addresses the ... A query based instance segmentation method. It can perform fast image/video instance segmentation end-to-end with high ... Project page: zju3dv.github.io/udolo/ Authors: Dengsheng Chen, Jun Li, Zheng Wang, Kai Xu Description: We present a novel approach to Due to the lack of camera parameter information for in-the-wild images, existing 3D human Introduction of paper "AdaFit: Rethinking Learning-based Normal Estimation on Project Website: zju3dv.github.io/object_nerf. Spatially Conditioned Graphs for Detecting Human-
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