ASSISTER: Assistive Navigation via Conditional Instruction Generation. - Zanming Huang; Zhongkai Shangguan; Jimuyang Zhang; Gilad Bar; Matthew Boyd; Eshed Ohn-Bar (ECCV (36), 2022)

Coaching a Teachable Student. - Jimuyang Zhang; Zanming Huang; Eshed Ohn-Bar (CVPR, 2023)

Feedback-Guided Autonomous Driving. - Jimuyang Zhang; Zanming Huang; Arijit Ray; Eshed Ohn-Bar (CVPR, 2024)

Neural Volumetric World Models for Autonomous Driving. - Zanming Huang; Jimuyang Zhang; Eshed Ohn-Bar (ECCV (17), 2024)

Scalable Early Childhood Reading Performance Prediction. - Zhongkai Shangguan; Zanming Huang; Eshed Ohn-Bar; Ola Ozernov-Palchik; Derek Kosty; Michael Stoolmiller; Hank Fien (NeurIPS, 2024)

Static Segmentation by Tracking: A Frustratingly Label-Efficient Approach to Fine-Grained Segmentation. - Zhenyang Feng; Zihe Wang; Saul Ibaven Bueno; Tomasz Frelek; Advikaa Ramesh; Jingyan Bai; Lemeng Wang; Zanming Huang; Jianyang Gu; Jinsu Yoo; Tai-Yu Pan; Arpita Chowdhury; et al. (CoRR, 2025)

Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge. - Boyu Gou; Zanming Huang; Yuting Ning; Yu Gu 016; Michael Lin; Weijian Qi; Andrei Kopanev; Botao Yu; Bernal Jiménez Gutiérrez; Yiheng Shu; Chan Hee Song; Jiaman Wu; et al. (CoRR, 2025)

Leveraging Sparse LiDAR for RAFT-Stereo: A Depth Pre-Fill Perspective. - Jinsu Yoo; Sooyoung Jeon; Zanming Huang; Tai-Yu Pan; Wei-Lun Chao (CoRR, 2025)