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The Hong Kong University of Science and Technology (Guangzhou)
- Guangzhou, China
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14:03
(UTC +08:00) - https://wang-xjtu.github.io/
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UniT: Unified Geometry Learning with Group Autoregressive Transformer
[CVPR 2026] CoIn3D: Revisiting Configuration-Invariant Multi-Camera 3D Object Detection
[IJCV 2026] Object-Scene-Camera Decomposition and Recomposition for Data-Efficient Monocular 3D Object Detection
[CVPR 2026 Highlight] Wanderland: Geometrically Grounded Simulation for Open-World Embodied AI
[ICLR 2026] π^3: Permutation-Equivariant Visual Geometry Learning
Official implementation of Continuous 3D Perception Model with Persistent State
[Information Fusion 2024] SparseDC: Depth Completion From Sparse and Non-uniform Inputs
[ICCV 25] Official code for "OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration"
[ICCV 2025] PacGDC: Label-Efficient Generalizable Depth Completion with Projection Ambiguity and Consistency
[CVPR 2025 Best Paper Award] VGGT: Visual Geometry Grounded Transformer
[CVPR2023] CompletionFormer: Depth Completion with Convolutions and Vision Transformers
BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks
Code release for ConvNeXt V2 model
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
⏰ Agenticly track worldwide conference deadlines (Website, Python Cli, Wechat Applet)
[T-PAMI 2025] Scale Propagation Network for Generalizable Depth Completion
This is the code of paper "Depth Map Recovery Based on a Unified Depth Boundary Distortion Model".
T-PAMI 2024: G2-MonoDepth: A General Framework of Generalized Depth Inference from Monocular RGB+X Data
The code of paper "RGB-Guided Depth Map Recovery by Two-Stage Coarse-to-fine Dense CRF Models "
PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"