activity
20242026
most citedDeformable Mamba for Wide Field of View Segmentation

1 citations · 1 across the 16 of their papers we have counts for

collaborators

22 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

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

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.CL2026

Case2Flow: Bridging Patient Cases and Guideline Flowcharts through Multimodal Retrieval

Jiale Wei, Yufan Chen, Alexander Jaus +5

Medical guidelines encode rich, evidence-based decision logic, yet the specific decision artifact a clinician needs is hard to locate within a guideline, let alone across guideline…

cs.CV2026

Quo Vadis, Visual In-Context Learning? A Unified Benchmark Across Domains and Tasks

Pradnya Halady, Jiale Wei, Zdravko Marinov +2

Visual in-context learning has been proposed as a pathway towards dynamic models that can generate predictions based on a provided context and thereby can adapt to new vision tasks…

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

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

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

SGR3 Model: Scene Graph Retrieval-Reasoning Model in 3D

Zirui Wang, Ruiping Liu, Yufan Chen +7

3D scene graphs provide a structured representation of object entities and their relationships, enabling high-level interpretation and reasoning for robots while remaining intuitiv…

cs.CV2026

Can we Trust Unreliable Voxels? Exploring 3D Semantic Occupancy Prediction under Label Noise

Wenxin Li, Kunyu Peng, Di Wen +6

3D semantic occupancy prediction is a cornerstone of robotic perception, yet real-world voxel annotations are inherently corrupted by structural artifacts and dynamic trailing effe…

cs.CV2025

Exploring Single Domain Generalization of LiDAR-based Semantic Segmentation under Imperfect Labels

Weitong Kong, Zichao Zeng, Di Wen +5

Accurate perception is critical for vehicle safety, with LiDAR as a key enabler in autonomous driving. To ensure robust performance across environments, sensor types, and weather c…

cs.AI2025

MICA: Multi-Agent Industrial Coordination Assistant

Di Wen, Kunyu Peng, Junwei Zheng +6

Industrial workflows demand adaptive and trustworthy assistance that can operate under limited computing, connectivity, and strict privacy constraints. In this work, we present MIC…

cs.CV2025

Hallucinating 360°: Panoramic Street-View Generation via Local Scenes Diffusion and Probabilistic Prompting

Fei Teng, Kai Luo, Sheng Wu +6

Panoramic perception holds significant potential for autonomous driving, enabling vehicles to acquire a comprehensive 360° surround view in a single shot. However, autonomous drivi…

cs.CV2024★ 1 cited

Deformable Mamba for Wide Field of View Segmentation

Jie Hu, Junwei Zheng, Jiale Wei +2

Recent advancements in the Mamba architecture, with its linear computational complexity, being a promising alternative to transformer architectures suffering from quadratic complex…

cs.CV2024

OneBEV: Using One Panoramic Image for Bird's-Eye-View Semantic Mapping

Jiale Wei, Junwei Zheng, Ruiping Liu +3

In the field of autonomous driving, Bird's-Eye-View (BEV) perception has attracted increasing attention in the community since it provides more comprehensive information compared w…