activity
20242026
most citedEvoAgentBench: Benchmarking Agent Self-Evolution via Ability Transfer

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

collaborators

6 papers

cs.AI20261 cited

EvoAgentBench: Benchmarking Agent Self-Evolution via Ability Transfer

Xingze Gao, Chuanrui Hu, Hongda Chen +9

Agent self-evolution in long-horizon LLM systems is largely procedural: useful experience is not merely stored information, but reusable procedures for searching, debugging, and ve…

cs.CV2026

A Comprehensive Survey on Underwater Image Enhancement Based on Deep Learning

Xiaofeng Cong, Yu Zhao, Jie Gui +2

Underwater image enhancement (UIE) presents a significant challenge within computer vision research. Despite the development of numerous UIE algorithms, a thorough and systematic r…

cs.CV2026

Toward Fine-Grained Facial Control in 3D Talking Head Generation

Shaoyang Xie, Xiaofeng Cong, Baosheng Yu +4

Audio-driven talking head generation is a core component of digital avatars, and 3D Gaussian Splatting has shown strong performance in real-time rendering of high-fidelity talking…

cs.CV2025

The Devil is in the Darkness: Diffusion-Based Nighttime Dehazing Anchored in Brightness Perception

Xiaofeng Cong, Yu-Xin Zhang, Haoran Wei +5

While nighttime image dehazing has been extensively studied, converting nighttime hazy images to daytime-equivalent brightness remains largely unaddressed. Existing methods face tw…

cs.CV2025

Deep Learning-Based Point Cloud Registration: A Comprehensive Survey and Taxonomy

Yu-Xin Zhang, Jie Gui, Baosheng Yu +4

Point cloud registration involves determining a rigid transformation to align a source point cloud with a target point cloud. This alignment is fundamental in applications such as…

cs.IR2024

Level-Navi Agent: A Framework and benchmark for Chinese Web Search Agents

Chuanrui Hu, Shichong Xie, Baoxin Wang +3

Large language models (LLMs), adopted to understand human language, drive the development of artificial intelligence (AI) web search agents. Compared to traditional search engines,…