Cvpr 2024 Rethinking Inductive Biases For Surface Normal Estimation

IEEE/CVF Conference on Computer Vision and Pattern Recognition

IEEE/CVF Conference on Computer Vision and Pattern Recognition

Oriented object detection has been developed rapidly in the past few years, where rotation equivariance is crucial for detectors to ...

Rameen Abdal, James Burgess, Sergey Tulyakov, Kuan-Chieh Wang Snap Research , Stanford University ...

IEEE/CVF Conference on Computer Vision and Pattern Recognition

Paper: Bootstrapping Multi-view Learning for Test-time Noisy Correspondence Authors: Changhao He, Di Xue, Shuxian Li, Yanji ...

The first analytic solution describing conic features under polynomial distortion paper: https://arxiv.org/abs/2403.04583 code: ...

If you have any copyright issues on video, please send us an email at khawar512@gmail.com Top Papers at

Project page: https://weijiandeng.xyz/nsr We present Transparent Neural

Hello, everyone. Thanks for watching this video. This is a introduction to the paper “Non-rigid Structure-from-Motion: ...

Poster Presentation

We present differentiable point-based inverse rendering, DPIR, an analysis-by-synthesis method that processes images captured ...

LLMind: Bio-inspired Training-free Adaptive Visual Representations for Vision-Language Models Vision-Language Models ...

[CVPR 2026] OddGridBench: Exposing the Lack of Fine-Grained Visual Discrepancy Sensitivity in MLLMs

A universal transferring framework for diffusion models to generate 3D properties, segmentation, and intrinsic images. Project ...

Exemplar-Free Continual Learning for State Space Models (CVPR 2026)