activity
20232026
most citedDAT++: Spatially Dynamic Vision Transformer with Deformable Attention

10 citations · 25 across the 29 of their papers we have counts for

collaborators

42 papers

cs.CV2026

HopChain: Multi-Hop Data Synthesis for Generalizable Vision-Language Reasoning

Shenzhi Wang, Shixuan Liu, Jing Zhou +8

Vision-language models (VLMs) show strong multimodal capabilities but still struggle with fine-grained vision-language reasoning. We find that long chain-of-thought (CoT) reasoning…

cs.RO2026

Beyond Short-Horizon: VQ-Memory for Robust Long-Horizon Manipulation in Non-Markovian Simulation Benchmarks

Honghui Wang, Zhi Jing, Jicong Ao +4

The high cost of collecting real-robot data has made robotic simulation a scalable platform for both evaluation and data generation. Yet most existing benchmarks concentrate on sim…

cs.CV2026

UltraStar: Semantic-Aware Star Graph Modeling for Echocardiography Navigation

Teng Wang, Haojun Jiang, Chenxi Li +6

Echocardiography is critical for diagnosing cardiovascular diseases, yet the shortage of skilled sonographers hinders timely patient care, due to high operational difficulties. Con…

cs.RO2025

MOVE: A Simple Motion-Based Data Collection Paradigm for Spatial Generalization in Robotic Manipulation

Huanqian Wang, Chi Bene Chen, Yang Yue +7

Imitation learning method has shown immense promise for robotic manipulation, yet its practical deployment is fundamentally constrained by the data scarcity. Despite prior work on…

cs.CV2025

VA-Adapter: Adapting Ultrasound Foundation Model to Echocardiography Probe Guidance

Teng Wang, Haojun Jiang, Yuxuan Wang +4

Echocardiography is a critical tool for detecting heart diseases, yet its steep operational difficulty causes a shortage of skilled personnel. Probe guidance systems, which assist…

cs.CV2025

Emulating Human-like Adaptive Vision for Efficient and Flexible Machine Visual Perception

Yulin Wang, Yang Yue, Huanqian Wang +11

Human vision is highly adaptive, efficiently sampling intricate environments by sequentially fixating on task-relevant regions. In contrast, prevailing machine vision models passiv…