← Search

Chenxi Zhang

4 accepted papers

2026

ResearchEnvBench: Benchmarking Agents on Environment Synthesis for Research Code Execution

IJCAI 2026

Autonomous agents are increasingly expected to support scientific research, and recent benchmarks report progress in code repair and autonomous experimentation. However, these evaluations typically assume a pre-configured execution environment, which requires resolving complex software dependencies,

Cited by 0Scholar
2025

Rethinking Camouflaged Object Detection via Foreground-Background Interactive Learning

ICASSP 2025accepted

Camouflaged object detection focuses on the challenge of segmenting objects that visually blend into their background. The effectiveness of camouflage strategies hinges on how well objects interact with their background to minimize their visibility. Based on this insight, we propose a novel Foregrou…

Cited by 0SourceScholar
2022

Deep Graph Matching Based Dense Correspondence Learning Between Non-Rigid Point Clouds

RA-L 2022

Building point-to-point dense correspondence between non-rigid shapes is a fundamental and challenging problem. Although functional map-based methods which calculate basis and convert point-wise map to functional map have shown promising performance on meshes, they are not directly applicable to poi

Cited by 5SourceScholar