activity
20232026
most citedAttention-based Point Cloud Edge Sampling

3 citations · 14 across the 52 of their papers we have counts for

collaborators

62 papers

cs.LG2026

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…

cs.HC2026

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…

cs.AI2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.RO2026

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…

cs.RO2026

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…

cs.CV2026

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…

cs.RO2026

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…

cs.CV2026

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…

cs.CV2026

Faster or Stronger: Towards Flexible Visual Place Recognition via Weighted Aggregation and Token Pruning

Zichao Zeng, June Moh Goo, Junwei Zheng +4

Visual Place Recognition (VPR) aims to match a query image to reference images of the same place in a large-scale database. Recent state-of-the-art methods employ Vision Transforme…

cs.CV2026

Seeing Together: Multi-Robot Cooperative Egocentric Spatial Reasoning with Multimodal Large Language Models

Kunyu Peng, Zhikun Zhou, Kailun Yang +9

Multimodal Large Language Models (MLLMs) have made substantial progress in egocentric video understanding, but their ability to reason cooperatively from multiple embodied viewpoin…

cs.CV2026

IMPACT-Scribe: Interactive Temporal Action Segmentation with Boundary Scribbles and Query Planning

Qian Yin, Di Wen, Kunyu Peng +11

Dense temporal annotation of procedural activity videos is vital for action understanding and embodied intelligence but remains labor-intensive due to reactive tools. Each correcti…

cs.CV2026

IMPACT-HOI: Supervisory Control for Onset-Anchored Partial HOI Event Construction

Haoshen Zhang, Di Wen, Kunyu Peng +12

We present IMPACT-HOI, a mixed-initiative framework for annotating egocentric procedural video by constructing structured event graphs for Human-Object Interactions (HOI), motivate…

cs.CV2026

EgoExoMem: Cross-View Memory Reasoning over Synchronized Egocentric and Exocentric Videos

Ruiping Liu, Junwei Zheng, Yufan Chen +7

Egocentric memory is widely used in embodied intelligence, but it may be insufficient for comprehensive spatial-temporal reasoning. Inspired by human recall from both field and obs…

cs.CV2026

IMPACT-CYCLE: A Contract-Based Multi-Agent System for Claim-Level Supervisory Correction of Long-Video Semantic Memory

Weitong Kong, Di Wen, Kunyu Peng +10

Correcting errors in long-video understanding is disproportionately costly: existing multimodal pipelines produce opaque, end-to-end outputs that expose no intermediate state for i…

cs.CV2026

IMPACT: A Dataset for Multi-Granularity Human Procedural Action Understanding in Industrial Assembly

Di Wen, Zeyun Zhong, David Schneider +18

We introduce IMPACT, a synchronized five-view RGB-D dataset for deployment-oriented industrial procedural understanding, built around real assembly and disassembly of a commercial…

cs.CV2026

Rethinking Video Human-Object Interaction: Set Prediction over Time for Unified Detection and Anticipation

Yuanhao Luo, Di Wen, Kunyu Peng +5

Video-based human-object interaction (HOI) understanding requires both detecting ongoing interactions and anticipating their future evolution. However, existing methods usually tre…

cs.LG2026

Towards Multi-Source Domain Generalization for Sleep Staging with Noisy Labels

Kening Wang, Di Wen, Yufan Chen +6

Automatic sleep staging is a multimodal learning problem involving heterogeneous physiological signals such as EEG and EOG, which often suffer from domain shifts across institution…

cs.CV2026

More than the Sum: Panorama-Language Models for Adverse Omni-Scenes

Weijia Fan, Ruiping Liu, Jiale Wei +7

Existing vision-language models (VLMs) are tailored for pinhole imagery, stitching multiple narrow field-of-view inputs to piece together a complete omni-scene understanding. Yet,…

cs.CV2026

DriveXQA: Cross-modal Visual Question Answering for Adverse Driving Scene Understanding

Mingzhe Tao, Ruiping Liu, Junwei Zheng +6

Fusing sensors with complementary modalities is crucial for maintaining a stable and comprehensive understanding of abnormal driving scenes. However, Multimodal Large Language Mode…