activity
20232026
most citedObjectFinder: An Open-Vocabulary Assistive System for Interactive Object Search by Blind People

2 citations · 4 across the 24 of their papers we have counts for

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13 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.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

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.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

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

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…

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…