activity
20162026
most citedOn the Opportunities and Risks of Foundation Models

2.3k citations · 8.5k across the 156 of their papers we have counts for

collaborators

161 papers

cs.RO2026

Robot Learning with Visual Predicted Force

Haonan Chen, Feiyang Wu, Yuxiang Ma +11

Force-aware manipulation typically relies on specialized force or tactile sensors. We show that force-aware manipulation can instead be achieved through visual force prediction fro…

cs.CV2026

4DCodeBench: Benchmarking Agents on Inverse Graphics of Dynamic Scenes

Ruihong Shen, Žiga Kovačič, Peter Kulits +6

We introduce 4DCodeBench, a benchmark for 4D inverse graphics through code generation, in which agents reconstruct dynamic scenes from video as executable graphics programs. To acc…

cs.CV2024★ 1 cited

BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation

Yunhao Ge, Yihe Tang, Jiashu Xu +20

The systematic evaluation and understanding of computer vision models under varying conditions require large amounts of data with comprehensive and customized labels, which real-wo…

cs.CV2024

3D Congealing: 3D-Aware Image Alignment in the Wild

Yunzhi Zhang, Zizhang Li, Amit Raj +5

We propose 3D Congealing, a novel problem of 3D-aware alignment for 2D images capturing semantically similar objects. Given a collection of unlabeled Internet images, our goal is t…

cs.CV2024

PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation

Tianyuan Zhang, Hong-Xing Yu, Rundi Wu +5

Realistic object interactions are crucial for creating immersive virtual experiences, yet synthesizing realistic 3D object dynamics in response to novel interactions remains a sign…

cs.RO2024★ 6 cited

BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation

Chengshu Li, Ruohan Zhang, Josiah Wong +32

We present BEHAVIOR-1K, a comprehensive simulation benchmark for human-centered robotics. BEHAVIOR-1K includes two components, guided and motivated by the results of an extensive s…