activity
20162024
most citedRobust Real-World Image Super-Resolution against Adversarial Attacks

923 citations · 1.5k across the 45 of their papers we have counts for

collaborators
Showing cs.CVShow all

39 papers · 1 filter

cs.CV2024

High-fidelity and Lip-synced Talking Face Synthesis via Landmark-based Diffusion Model

Weizhi Zhong, Junfan Lin, Peixin Chen +2

Audio-driven talking face video generation has attracted increasing attention due to its huge industrial potential. Some previous methods focus on learning a direct mapping from au…

cs.CV2024

MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object Detection

Kuo Wang, Lechao Cheng, Weikai Chen +4

Learning from pseudo-labels that generated with VLMs~(Vision Language Models) has been shown as a promising solution to assist open vocabulary detection (OVD) in recent studies. Ho…

cs.CV2024

WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models

Zijian He, Peixin Chen, Guangrun Wang +3

Video virtual try-on aims to generate realistic sequences that maintain garment identity and adapt to a person's pose and body shape in source videos. Traditional image-based metho…

cs.CV20241 cited

NeRF-HuGS: Improved Neural Radiance Fields in Non-static Scenes Using Heuristics-Guided Segmentation

Jiahao Chen, Yipeng Qin, Lingjie Liu +2

Neural Radiance Field (NeRF) has been widely recognized for its excellence in novel view synthesis and 3D scene reconstruction. However, their effectiveness is inherently tied to t…

cs.CV20241 cited

OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation

Ganlong Zhao, Guanbin Li, Weikai Chen +1

Recent advances in Iterative Vision-and-Language Navigation (IVLN) introduce a more meaningful and practical paradigm of VLN by maintaining the agent's memory across tours of scene…

cs.CV2024

Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection

Jiaming Li, Xiangru Lin, Wei Zhang +6

Current semi-supervised object detection (SSOD) algorithms typically assume class balanced datasets (PASCAL VOC etc.) or slightly class imbalanced datasets (MS-COCO, etc). This ass…