activity
20232026
most citedGauFRe: Gaussian Deformation Fields for Real-time Dynamic Novel View Synthesis

3 citations · 3 across the 8 of their papers we have counts for

collaborators

9 papers

cs.RO2026

Deform360: A Massive Multi-view Visuotactile Dataset for Deformable World Models

Hongyu Li, Wanjia Fu, Xiaoyan Cong +11

Predicting object dynamics (i.e., world modeling) is a fundamental challenge for robotic manipulation, and modeling deformable objects presents a particularly difficult case due to…

cs.CV2026

EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks

Lulin Liu, Dayou Li, Yiqing Liang +8

Large foundation models have made significant advances in embodied intelligence, enabling synthesis and reasoning over egocentric input for household tasks. However, VLM-based auto…

cs.SE2026

Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

Mike A. Merrill, Alexander G. Shaw, Nicholas Carlini +82

AI agents may soon become capable of autonomously completing valuable, long-horizon tasks in diverse domains. Current benchmarks either do not measure real-world tasks, or are not…

cs.CV2025

LASER: Layer-wise Scale Alignment for Training-Free Streaming 4D Reconstruction

Tianye Ding, Yiming Xie, Yiqing Liang +3

Recent feed-forward reconstruction models like VGGT and achieve impressive reconstruction quality but cannot process streaming videos due to quadratic memory complexity, limi…

cs.CV2025

E3D-Bench: A Benchmark for End-to-End 3D Geometric Foundation Models

Wenyan Cong, Yiqing Liang, Yancheng Zhang +7

Spatial intelligence, encompassing 3D reconstruction, perception, and reasoning, is fundamental to applications such as robotics, aerial imaging, and extended reality. A key enable…

cs.CV2025

MoDoMoDo: Multi-Domain Data Mixtures for Multimodal LLM Reinforcement Learning

Yiqing Liang, Jielin Qiu, Wenhao Ding +7

Reinforcement Learning with Verifiable Rewards (RLVR) has recently emerged as a powerful paradigm for post-training large language models (LLMs), achieving state-of-the-art perform…

cs.CV2025

Zero-Shot Monocular Scene Flow Estimation in the Wild

Yiqing Liang, Abhishek Badki, Hang Su +2

Large models have shown generalization across datasets for many low-level vision tasks, like depth estimation, but no such general models exist for scene flow. Even though scene fl…

cs.CV2024

Monocular Dynamic Gaussian Splatting: Fast, Brittle, and Scene Complexity Rules

Yiqing Liang, Mikhail Okunev, Mikaela Angelina Uy +4

Gaussian splatting methods are emerging as a popular approach for converting multi-view image data into scene representations that allow view synthesis. In particular, there is int…

cs.CV2023★ 3 cited

GauFRe: Gaussian Deformation Fields for Real-time Dynamic Novel View Synthesis

Yiqing Liang, Numair Khan, Zhengqin Li +4

We propose a method that achieves state-of-the-art rendering quality and efficiency on monocular dynamic scene reconstruction using deformable 3D Gaussians. Implicit deformable rep…