activity
20142024
most citedLearning Face Representation from Scratch

1.7k citations · 2.3k across the 39 of their papers we have counts for

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48 papers · 1 filter

cs.CV2025

Bayesian Test-time Adaptation for Object Recognition and Detection with Vision-language Models

Lihua Zhou, Mao Ye, Shuaifeng Li +7

Vision-language models (VLMs) such as CLIP and Grounding DINO have achieved remarkable success in object recognition and detection. However, their performance often degrades under…

cs.CV2025

Towards Realistic Hand-Object Interaction with Gravity-Field Based Diffusion Bridge

Miao Xu, Xiangyu Zhu, Xusheng Liang +3

Existing reconstruction or hand-object pose estimation methods are capable of producing coarse interaction states. However, due to the complex and diverse geometry of both human ha…

cs.CV2025

Pose-RFT: Enhancing MLLMs for 3D Pose Generation via Hybrid Action Reinforcement Fine-Tuning

Bao Li, Xiaomei Zhang, Miao Xu +3

Generating 3D human poses from multimodal inputs such as images or text requires models to capture both rich spatial and semantic correspondences. While pose-specific multimodal la…

cs.CV2025

Endo-4DGX: Robust Endoscopic Scene Reconstruction and Illumination Correction with Gaussian Splatting

Yiming Huang, Long Bai, Beilei Cui +7

Accurate reconstruction of soft tissue is crucial for advancing automation in image-guided robotic surgery. The recent 3D Gaussian Splatting (3DGS) techniques and their variants, 4…

cs.CV20251 cited

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation

Zuyao Chen, Jinlin Wu, Zhen Lei +1

We present OvSGTR, a novel transformer-based framework for fully open-vocabulary scene graph generation that overcomes the limitations of traditional closed-set models. Conventiona…

cs.CV2025

Mixture-of-Attack-Experts with Class Regularization for Unified Physical-Digital Face Attack Detection

Shunxin Chen, Ajian Liu, Junze Zheng +4

Facial recognition systems in real-world scenarios are susceptible to both digital and physical attacks. Previous methods have attempted to achieve classification by learning a com…