activity
20152026
most citedVideo Enhancement with Task-Oriented Flow

1.4k citations · 2.7k across the 35 of their papers we have counts for

collaborators

37 papers

cs.CV2026

Benchmarking Vision-Language Models on Synapse Detection and Proofreading in Connectomics

Yicong Li, Junjie Wang, Leander Lauenburg +5

We benchmarked vision-language models (VLMs) on the decisions annotators take when inspecting electron microscopy images in connectomics: synapse detection (presence and polarity)…

cs.CV2024

Affordance-Aware Object Insertion via Mask-Aware Dual Diffusion

Jixuan He, Wanhua Li, Ye Liu +3

As a common image editing operation, image composition involves integrating foreground objects into background scenes. In this paper, we expand the application of the concept of Af…

cs.CV2024★ 1 cited

SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy Segment Optimization

Wanhua Li, Zibin Meng, Jiawei Zhou +3

Social relation reasoning aims to identify relation categories such as friends, spouses, and colleagues from images. While current methods adopt the paradigm of training a dedicate…

cs.CV2024

Frenet-Serret Frame-based Decomposition for Part Segmentation of 3D Curvilinear Structures

Leslie Gu, Jason Ken Adhinarta, Mikhail Bessmeltsev +7

Accurately segmenting 3D curvilinear structures in medical imaging remains challenging due to their complex geometry and the scarcity of diverse, large-scale datasets for algorithm…

cs.CV2024★ 2 cited

-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding

Ye Liu, Jixuan He, Wanhua Li +4

Video temporal grounding (VTG) is a fine-grained video understanding problem that aims to ground relevant clips in untrimmed videos given natural language queries. Most existing VT…

eess.IV2024★ 4 cited

Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge

Jiancheng Yang, Rui Shi, Liang Jin +22

Rib fractures are a common and potentially severe injury that can be challenging and labor-intensive to detect in CT scans. While there have been efforts to address this field, the…