activity
20232026
most citedRoHOI: Robustness Benchmark for Human-Object Interaction Detection

1 citations · 5 across the 34 of their papers we have counts for

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19 papers · 1 filter

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.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.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

TriALS: Triphasic-Aided Liver Lesion Segmentation Benchmark in Non-Contrast CT

Marawan Elbatel, Mohamed Ghonim, Jiaji Mao +62

Automated segmentation of liver lesions on non-contrast computed tomography (NCCT) is clinically important but fundamentally challenging, particularly in low-resource settings acro…

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.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.RO2026

Not an Obstacle for Dog, but a Hazard for Human: A Co-Ego Navigation System for Guide Dog Robots

Ruiping Liu, Jingqi Zhang, Junwei Zheng +8

Guide dogs offer independence to Blind and Low-Vision (BLV) individuals, yet their limited availability leaves the vast majority of BLV users without access. Quadruped robotic guid…

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

RHO: Robust Holistic OSM-Based Metric Cross-View Geo-Localization

Junwei Zheng, Ruize Dai, Ruiping Liu +7

Metric Cross-View Geo-Localization (MCVGL) aims to estimate the 3-DoF camera pose (position and heading) by matching ground and satellite images. In this work, instead of pinhole a…

cs.CV2026

What if? Emulative Simulation with World Models for Situated Reasoning

Ruiping Liu, Yufan Chen, Yuheng Zhang +8

Situated reasoning often relies on active exploration, yet in many real-world scenarios such exploration is infeasible due to physical constraints of robots or safety concerns of v…