27 citations · 80 across the 96 of their papers we have counts for
114 papers
Are We Overthinking One-Step Generation?
Woobin Park, Jaeyeon Kim, Yilun Du +2
Diffusion and flow matching are now dominant frameworks for generative modeling in continuous domains, but they typically require multiple network evaluations at inference. This ha…
InSight: A Mobile Assistant Helping Visually Impaired People Navigate Unfamiliar Environment
Junwei Zheng, Jiale Wei, Di Wen +6
Navigating unfamiliar outdoor environments is one of the most demanding everyday tasks for people with visual impairments (PVI). However, existing navigation systems cannot simulta…
VL-DocIR: A Benchmark for Vision-Based Long Document Information Retrieval
Simon Ott, Yufan Chen, Ruiping Liu +6
Vision-based document retrieval has improved rapidly, but current evaluation settings still emphasize short documents and single relevant pages. This leaves an important gap betwee…
OmniAct3D: Leveraging Foundation Geometry and Evidence-Grounded Reasoning for Panoramic 3D Detection
Runtong Wu, Fei Teng, Di Wen +3
Accurate 3D detection is essential for mobile embodied agents, while Vision Foundation Models (VFMs) offer transferable visual and geometric priors. Yet existing VFM-based 3D detec…
FUSEye: Training-Light Fisheye Detection with Overlapping Views and Zero-Initialized Adapters
Wenya Su, Kai Luo, Di Wen +5
Fisheye cameras give mobile robots a single-sensor, low-cost view of their surroundings, yet the COCO-pretrained detectors that practitioners routinely reuse fail on them: strong r…
Does Local Video Understanding Transfer Across Encounters? The EgoGears Benchmark
Yuedong Tan, Lei Qi, Yu Liu +13
Embodied systems must make knowledge acquired during one encounter usable in another despite changes in viewpoint, motion, and illumination. Yet aggregate cross-video accuracy conf…
HEIR: Learning Human-Entity Interactions with Functional Roles
Di Wen, Wenhao Guo, Yuedong Tan +15
Understanding human-entity interactions requires recovering each person-action event's participants, roles, and shared identities. This structure can support embodied agents by cla…
Authorization Closure Graph: Minimal Repair for LLM Agents with Evolving User Instructions
Qingzhuo Wang, CaiYi Wang, Jinglu Meng +4
Tool-using large language model (LLM) agents increasingly perform state-changing actions that require user authorization. Yet existing approaches do not provide a principled mechan…
ϕ-RIE: From Photorealistic Reconstruction to Interactive Environments
Runyi Yang, Deheng Zhang, Xiaoye Wang +6
3D Gaussian Splatting (3DGS) can reconstruct a captured scene photorealistically, but the resulting representation does not by itself support physical interaction. Robot simulation…
Do LiDAR Language Models Really Understand Spatio-temporal Relationships?
Runyi Yang, Murat Akkoyun, Di Wen +8
Recent 4D LiDAR language models aim to reason about objects and their evolving spatial relationships. Yet, in our evaluation, always selecting the same option nearly matches the mu…
Algebraic Consistency Alone Does Not Certify Temporal Structure in Latent Action Models
Di Wen, Ruodi Zhang, Kailun Yang +1
Latent action models infer a code for the transition between two frames of action-free video. Recent methods regularise this code to compose additively and reverse antisymmetricall…
When Should a VLM Look? Paying Only for Visual Calls That Were Needed and Used
Kunyu Peng, Junming Liu, Ruiqi He +3
Vision-language agents that crop and zoom are trained with rewards that credit a successful tool call, yet a successful call does not show that the model needed to look or used the…
FOCAL-VLA: Subtask-Guided Geometry Distillation and Implicit World Modeling for Vision-Language-Action Models
Zhiyuan Gao, Di Wen, Yanxiang Zhan +4
Vision-language-action (VLA) models built on pretrained vision-language models have demonstrated strong performance across diverse robotic manipulation tasks. However, VLA models t…
Hand-Aware Transition Modeling for Bimanual Procedural Anomaly Detection
Di Wen, Jimmy Weissert, Luc Maria Scherrer +7
Procedural anomaly detection in bimanual assembly requires judging each hand action against the execution so far. A corrective action may look unusual in isolation, while a visuall…
PROVIA: Procedure State Tracking for Online Mistake Detection in Egocentric Videos
Di Wen, Kailun Yang, Jimmy Weissert +7
An assistant watching egocentric video should notice a mistake from past frames alone, before the next step begins, and keep working once the person recovers. A mistake changes the…
INSPECT: Learning Robot View Selection from Assistant Use
Di Wen, Kailun Yang, Wenhao Guo +7
Robots inspecting an assembly must determine which parts are present and whether they are correctly installed. During egocentric assembly assistance, head motion and workpiece hand…
CoRef-GS: Cooperative Referring Gaussian Splatting for Multi-Agent Scene Understanding
Zhikun Zhou, Kunyu Peng, Runyi Yang +7
Referring scene understanding for embodied robots requires grounding object- and relation-centric language queries from a designated viewpoint. While a local semantic Gaussian map…
RoboFind: Multi-Agent Personalized Object Search for People Who Are Blind or Have Low Vision
Ruiping Liu, Shaofang Quan, Qian Yin +10
Blind and low-vision users often need to locate a specific personal object rather than an arbitrary instance of the same category. The task calls for a robot that can move through…
XLocalizer: Cross-grained Alignment for Progressive Cross-view Video Geo-localization
Zichao Zeng, Weijia Fan, Yufan Chen +7
Cross-view Video Geo-localization (CVG) aims to localize ground-view videos by retrieving their corresponding geo-tagged aerial images. However, CVG approaches rely on fixed-length…
GuideFetch: A Task Coordination Framework for Concurrent Navigation and Object Retrieval in Assistive Robot Dogs
Qian Yin, Ruiping Liu, Kunyu Peng +7
Consider one robot guide dog escorting a blind user to a seat while a second retrieves and delivers an object. We introduce \textsc{GuideFetch}, a framework for coordinating this c…
SeqLoc: Beyond the Single Frame for Cross-View Geo-Localization in Feature-Sparse Scenes
Junwei Zheng, Yun Huang, Ruize Dai +8
Cross-View Geo-Localization (CVGL) with OpenStreetMap (OSM) performs well in structure-rich urban environments but collapses in feature-sparse scenes such as rural roads. To study…
The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering
Yuqian Fu, Tianwen Qian, Yanjun Li +30
EgoCross is a cross-domain egocentric video question answering benchmark designed to evaluate whether multimodal large language models can generalize beyond common daily-life scena…
HGeo-TopoMap: Boosting Topological Mapping with Hierarchical Geometric Priors
Siyu Li, Kunyu Peng, Di Wen +3
Topological maps are key outputs of autonomous driving perception systems, delivering essential road information for path planning. They identify instances such as centerlines and…
I\textsuperscript{2}RiMA: Spectral Riemannian Representation with Temporal Attention for Mental Stress Detection based on EEG Signals
Cheng He, Kunyu Peng, Shangen Han +3
Cross-subject EEG stress detection remains challenging because discriminative stress-related patterns are both subject-dependent and frequency-specific. Conventional Riemannian met…