activity
20222026
most citedDARF: Depth-Aware Generalizable Neural Radiance Field

7 citations · 10 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI2026

SERO: Learning from Executable Oracle Continuations for Long-Horizon Agentic Reinforcement Learning

Dingyi Rong, Yue Shi, Chaofan Ma +5

Long-horizon agentic RL is constrained by the futures visited by the current policy. When rollouts fail to reach useful behaviors, improved credit assignment cannot provide supervi…

cs.CV2026

Invisible in Space, Visible in Time: Motion Vision CAPTCHA against GUI Agents

Zeyu Zhang, Dingyi Rong, Zijian Chen +3

Most existing visual CAPTCHAs remain spatially solvable: the required information is exposed by static appearance, local structure, and interface state. This assumption is weakened…

cs.AI2026

SafeAtlas-VL: Beyond Binary Multimodal Safety with Large-Scale Data and Guard Models

Zongrui Wang, Xiangyang Zhu, Sicheng Wang +13

Multimodal safety moderation requires distinguishing risks arising from visual content, user intent, and assistant behavior. Existing safeguards, however, are typically trained for…

cs.RO2026

H2R-Bench: Benchmarking Human-to-Robot Manipulation Video Generation in World Models

Dingyi Rong, Yue Shi, Chaofan Ma +6

Large-scale manipulation data is essential for robot learning, yet collecting robot demonstrations remains expensive and difficult to scale. Meanwhile, abundant egocentric human ma…

q-bio.QM2024★ 3 cited

Autoregressive Enzyme Function Prediction with Multi-scale Multi-modality Fusion

Dingyi Rong, Wenzhuo Zheng, Bozitao Zhong +3

Accurate prediction of enzyme function is crucial for elucidating biological mechanisms and driving innovation across various sectors. Existing deep learning methods tend to rely s…

cs.CV2022★ 7 cited

DARF: Depth-Aware Generalizable Neural Radiance Field

Yue Shi, Dingyi Rong, Chang Chen +3

Neural Radiance Field (NeRF) has revolutionized novel-view rendering tasks and achieved impressive results. However, the inefficient sampling and per-scene optimization hinder its…

eess.IV2022

Differentiable Projection from Optical Coherence Tomography B-Scan without Retinal Layer Segmentation Supervision

Dingyi Rong, Jiancheng Yang, Bingbing Ni +1

Projection map (PM) from optical coherence tomography (OCT) B-scan is an important tool to diagnose retinal diseases, which typically requires retinal layer segmentation. In this s…