Computer Vision

arXiv:2608.21761v1 Announce Type: new Abstract: Large collections of street-view imagery provide rich visual information about urban environments, but extractin

A case study in treating representation as a design decision, not a given — with the code and the logging to prove it.

arXiv:2608.05218v1 Announce Type: new Abstract: 3D Gaussian Splatting (3DGS) enables fast, photorealistic talking-head rendering, yet accurate lip articulation

arXiv:2608.06150v1 Announce Type: new Abstract: Earth-surface monitoring requires change detection models capable of recognizing arbitrary semantic categories.

arXiv:2608.05745v1 Announce Type: cross Abstract: Video Virtual Try-On (VVT) synthesizes a video of a person wearing a target garment while preserving identity,

arXiv:2608.05771v1 Announce Type: cross Abstract: Infrared small target detection (IRSTD) has achieved substantial progress under domain-consistent evaluation,

arXiv:2608.06075v1 Announce Type: cross Abstract: Commercial vision-language models are reshaping computer vision, with visual priors broad enough to rival task

arXiv:2608.06236v1 Announce Type: cross Abstract: Our primary objective is to advance video object counting in crowded scenes, aiming to robustly count all inst

arXiv:2608.06240v1 Announce Type: cross Abstract: Unpaired image-to-image translation must decide, per image, what to change and what to preserve without paired

​ need those for analysing movies. example let's say I have to find the screentime of the actor over the whole runtime of the movie and i need to do it for the

arXiv:2608.04035v1 Announce Type: cross Abstract: The wide adoption of Vision Transformers (ViTs) in safety-critical applications raises reliability concerns re

arXiv:2608.04124v1 Announce Type: cross Abstract: Video question answering requires models to ground language queries in visual evidence and, when necessary, re

arXiv:2608.04154v1 Announce Type: cross Abstract: Mapping paddy rice from very-high-resolution imagery in mountainous and hilly regions is difficult because ter

arXiv:2608.04589v1 Announce Type: cross Abstract: EgoCross is a cross-domain egocentric video question answering benchmark designed to evaluate whether multimod

arXiv:2608.04655v1 Announce Type: cross Abstract: Curvilinear structure analysis is an important and fundamental task in multimedia. However, the controllable g

arXiv:2608.04840v1 Announce Type: cross Abstract: Verifying the authenticity of satellite imagery has become increasingly critical given advances in generative

arXiv:2608.05069v1 Announce Type: cross Abstract: Video Anomaly Detection (VAD) is inherently challenging due to the scarcity of anomalies and the large visual

arXiv:2608.05115v1 Announce Type: cross Abstract: Can computer vision help make classrooms safer? In this pilot study, we investigate privacy-aware and computat

arXiv:2504.01407v3 Announce Type: replace-cross Abstract: Long video understanding poses a fundamental challenge for large video-language models (LVLMs) due to

arXiv:2511.19418v3 Announce Type: replace-cross Abstract: Vision-Language Models (VLMs) excel at reasoning in linguistic space but struggle with perceptual unde

arXiv:2603.06140v2 Announce Type: replace-cross Abstract: Video object insertion is fundamental to video editing, yet existing diffusion methods often produce v

arXiv:2108.04694v2 Announce Type: cross Abstract: We introduce the problem of multi-camera trajectory forecasting (MCTF), which involves predicting the trajecto

arXiv:2403.09281v3 Announce Type: cross Abstract: We propose CLIP-EBC, the first fully CLIP-based model for accurate crowd density estimation. While the CLIP mo

arXiv:2608.03096v1 Announce Type: cross Abstract: Recent advances in video generation models have significantly intensified the deepfake threat, yet the current

arXiv:2608.03127v1 Announce Type: cross Abstract: Hand motion carries the finest-grained information in human activity, yet the representations behind hand gene

arXiv:2608.03407v1 Announce Type: cross Abstract: Road network segmentation from satellite imagery remains challenging due to large geographic variation in road

arXiv:2608.03419v1 Announce Type: cross Abstract: Audio-based piano transcription performs well on onset, pitch, and velocity, but the sustain pedal lets sound

arXiv:2608.03428v1 Announce Type: cross Abstract: Image based dietary assessment offers a scalable alternative to self reported food diaries, yet fine-grained f

arXiv:2608.03918v1 Announce Type: cross Abstract: Efficient long-video understanding requires vision--language models (VLMs) to reason over a small number of fr

arXiv:2504.06881v2 Announce Type: replace-cross Abstract: Convolutional neural networks (CNNs) are foundational to many state-of-the-art computer vision systems

arXiv:2608.00345v1 Announce Type: cross Abstract: A 3D CT scan entering a vision-language model produces a long sequence of visual tokens, often thousands to te

arXiv:2608.00415v1 Announce Type: cross Abstract: Depth estimation is a significant task for 3D perception in endoscopic surgeries. However, illumination interf

arXiv:2608.00508v1 Announce Type: cross Abstract: Object detection and segmentation in three-dimensional medical images is a very active area of research. Howev

arXiv:2608.00530v1 Announce Type: cross Abstract: Infrared-visible image fusion under realistic degradation scenarios is a challenging task, as degradations not

arXiv:2608.00714v1 Announce Type: cross Abstract: Recent advances in large vision-language models (LVLMs) have enabled long-video understanding and analysis. Ho

arXiv:2608.00946v1 Announce Type: cross Abstract: Existing 6-DoF grasp detectors typically rank grasp candidates by detector confidence. However, our analysis o

arXiv:2608.01178v1 Announce Type: cross Abstract: We present DynActiveGS, a dynamic-aware active reconstruction framework based on 3D Gaussian Splatting (3DGS)

arXiv:2608.01301v1 Announce Type: cross Abstract: Infrared-visible image fusion (IVIF) has no ideal fused reference, so fusion algorithms are routinely ranked b

arXiv:2608.01470v1 Announce Type: cross Abstract: Event cameras produce sparse and asynchronous event streams that provide rich spatio-temporal information for

arXiv:2608.01572v1 Announce Type: cross Abstract: Autonomous driving (AD) systems have advanced rapidly over the past decade; however, robust perception under a

arXiv:2608.01643v1 Announce Type: cross Abstract: Real-time co-speech gesture generation must produce 3D motion clip by clip as speech arrives. Existing streami

arXiv:2608.01696v1 Announce Type: cross Abstract: Player-centric ball action spotting requires temporally precise event detection together with actor attributio

arXiv:2608.01720v1 Announce Type: cross Abstract: Extremely low-light RAW enhancement aims to recover severely attenuated sensor signals, yet existing methods o

arXiv:2608.01753v1 Announce Type: cross Abstract: Addressing urban blight has seen increased focus in the past 15 years. Assessing urban blight is essential for

arXiv:2608.01958v1 Announce Type: cross Abstract: 4D Gaussian Splatting (4DGS) excels in dynamic 3D reconstruction and real-time novel view synthesis via effici

arXiv:2608.02056v1 Announce Type: cross Abstract: Recent advances in proposal-free Video Moment Retrieval (VMR) have highlighted the effectiveness of Static Sce

arXiv:2608.02099v1 Announce Type: cross Abstract: 3D Gaussian Splatting (3DGS) has emerged as a leading technique for real-time novel view synthesis, yet existi

arXiv:2608.02145v1 Announce Type: cross Abstract: In this paper, we propose UniqueSplat, a view-conditioned feed-forward 3D Gaussian Splatting model to reconstr