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20232026
most citedSSNeRF: Sparse View Semi-supervised Neural Radiance Fields with Augmentation

1 citations · 3 across the 20 of their papers we have counts for

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cs.CV2026

UC-VLM: Consistency-Driven Learning for AI-Generated Image Detection with Vision-Language Large Models

Lei Tan, Shuwei Li, Mohan Kankanhalli +1

Vision-Language Large Models (VLLMs) are promising for AI-generated image (AIGI) detection because they can produce both a prediction and a natural-language output. However, most e…

cs.CV2026

Token-Based Affordance Grounding with Large Vision-Language Models

Seung Il Lee, Qinqian Lei, Daguang Xu +4

Affordance grounding aims to localize image regions that support a specific action, serving as a core capability for physical intelligence and embodied perception. Previous studies…

cs.CV2026

A Study of Failure Modes in Two-Stage Human-Object Interaction Detection

Lemeng Wang, Qinqian Lei, Vidhi Bakshi +8

Human-object interaction (HOI) detection aims to detect interactions between humans and objects in images. While recent advances have improved performance on existing benchmarks, t…

cs.CV2026

UDAPose: Unsupervised Domain Adaptation for Low-Light Human Pose Estimation

Haopeng Chen, Yihao Ai, Kabeen Kim +3

Low-visibility scenarios, such as low-light conditions, pose significant challenges to human pose estimation due to the scarcity of annotated low-light datasets and the loss of vis…

cs.CV2026

SHOE: Semantic HOI Open-Vocabulary Evaluation Metric

Maja Noack, Qinqian Lei, Taipeng Tian +6

Open-vocabulary human-object interaction (HOI) detection is a step towards building scalable systems that generalize to unseen interactions in real-world scenarios and support grou…

cs.CV2026

Tele-Omni: a Unified Multimodal Framework for Video Generation and Editing

Jialun Liu, Tian Li, Xiao Cao +20

Recent advances in diffusion-based video generation have substantially improved visual fidelity and temporal coherence. However, most existing approaches remain task-specific and r…