2 citations · 4 across the 24 of their papers we have counts for
27 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…
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…
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…
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…
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…
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,…
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…
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…
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…
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…
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…
HybriDLA: Hybrid Generation for Document Layout Analysis
Yufan Chen, Omar Moured, Ruiping Liu +4
Conventional document layout analysis (DLA) traditionally depends on empirical priors or a fixed set of learnable queries executed in a single forward pass. While sufficient for ea…
mmWalk: Towards Multi-modal Multi-view Walking Assistance
Kedi Ying, Ruiping Liu, Chongyan Chen +5
Walking assistance in extreme or complex environments remains a significant challenge for people with blindness or low vision (BLV), largely due to the lack of a holistic scene und…
Situat3DChange: Situated 3D Change Understanding Dataset for Multimodal Large Language Model
Ruiping Liu, Junwei Zheng, Yufan Chen +6
Physical environments and circumstances are fundamentally dynamic, yet current 3D datasets and evaluation benchmarks tend to concentrate on either dynamic scenarios or dynamic situ…
TY-RIST: Tactical YOLO Tricks for Real-time Infrared Small Target Detection
Abdulkarim Atrash, Omar Moured, Yufan Chen +3
Infrared small target detection (IRSTD) is critical for defense and surveillance but remains challenging due to (1) target loss from minimal features, (2) false alarms in cluttered…
SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity
Chengzhi Wu, Yuxin Wan, Hao Fu +5
Driven by the increasing demand for accurate and efficient representation of 3D data in various domains, point cloud sampling has emerged as a pivotal research topic in 3D computer…
CHAOS: Chart Analysis with Outlier Samples
Omar Moured, Yufan Chen, Ruiping Liu +4
Charts play a critical role in data analysis and visualization, yet real-world applications often present charts with challenging or noisy features. However, "outlier charts" pose…
Exploring Video-Based Driver Activity Recognition under Noisy Labels
Linjuan Fan, Di Wen, Kunyu Peng +8
As an open research topic in the field of deep learning, learning with noisy labels has attracted much attention and grown rapidly over the past ten years. Learning with label nois…
Scene-agnostic Pose Regression for Visual Localization
Junwei Zheng, Ruiping Liu, Yufan Chen +4
Absolute Pose Regression (APR) predicts 6D camera poses but lacks the adaptability to unknown environments without retraining, while Relative Pose Regression (RPR) generalizes bett…
RefChartQA: Grounding Visual Answer on Chart Images through Instruction Tuning
Alexander Vogel, Omar Moured, Yufan Chen +2
Recently, Vision Language Models (VLMs) have increasingly emphasized document visual grounding to achieve better human-computer interaction, accessibility, and detailed understandi…
SFDLA: Source-Free Document Layout Analysis
Sebastian Tewes, Yufan Chen, Omar Moured +2
Document Layout Analysis (DLA) is a fundamental task in document understanding. However, existing DLA and adaptation methods often require access to large-scale source data and tar…
Graph-based Document Structure Analysis
Yufan Chen, Ruiping Liu, Junwei Zheng +4
When reading a document, glancing at the spatial layout of a document is an initial step to understand it roughly. Traditional document layout analysis (DLA) methods, however, offe…