Computer Vision

arXiv:2606.11670v1 Announce Type: cross Abstract: Subject-preserving video generation is not solved by frontal-face similarity alone: a generated person must re

arXiv:2606.11683v1 Announce Type: cross Abstract: Spatial reasoning from egocentric videos is inherently challenging because the observable evidence is constrai

arXiv:2606.11739v1 Announce Type: cross Abstract: We introduce a multi-view in-cabin monitoring dataset for public transportation with synchronized RGB and dept

arXiv:2606.11751v1 Announce Type: cross Abstract: Multi-turn image editing is essential for iterative design, yet current models often struggle with identity dr

arXiv:2606.11805v1 Announce Type: cross Abstract: Text-conditioned 3D generation has progressed rapidly for images and isolated objects, but producing a hand-ob

arXiv:2606.11889v1 Announce Type: cross Abstract: Vision-language models (VLMs) are increasingly used for scene understanding in autonomous driving, but robustn

arXiv:2606.12047v1 Announce Type: cross Abstract: In this paper, we address the problem of zero-shot understanding of accidents from surveillance videos by iden

arXiv:2508.09459v3 Announce Type: replace-cross Abstract: Visual manipulation localization (VML) aims to identify tampered regions in images and videos, a task

arXiv:2509.14860v2 Announce Type: replace-cross Abstract: Image classification has traditionally relied on parameter-intensive model training, requiring large-s

arXiv:2602.20958v2 Announce Type: replace-cross Abstract: Vision-based Unmanned Aerial Vehicles (UAVs) frameworks aid human search tasks by detecting and recogn

Decoding the future of biometric identity wallets The upcoming rollout of the European Digital Identity (EUDI) Wallet is more than just a policy shift; it is a

In todays environment companies generate a huge amount of visual data every day. Manufacturing plants, warehouses, logistics hubs… Continue reading on Medium »

How I am combining Computer Vision, Hexagonal Architecture, and Cybersecurity to bring public health diagnostics to off-grid areas. Continue reading on Medium »

arXiv:2606.10019v1 Announce Type: cross Abstract: We propose a fast and correspondence-free local point cloud registration method that leverages geometric surfa

arXiv:2606.10328v1 Announce Type: cross Abstract: The integration of spatial and spectral information is beneficial to the improvement of change detection perfo

arXiv:2606.10699v1 Announce Type: cross Abstract: In the production process of network cables, ensuring the correct color sequence of wire pairs inside the stan

arXiv:2606.10892v1 Announce Type: cross Abstract: To showcase products, merchants often incur substantial costs creating high-quality display images. Foreground

arXiv:2504.03118v2 Announce Type: replace-cross Abstract: Vision Transformers (ViTs) often need to be compressed for deployment on resource-constrained edge dev

arXiv:2512.11995v2 Announce Type: replace-cross Abstract: While many vision-language models (VLMs) are developed to answer well-defined, straightforward questio

I recently came across a GitHub repository with many papers on physically plausible video generation, and I found this paper. This paper… Continue reading on Me

<img src="https://external-preview.redd.it/dnB5Y2t4czNtYjZoMfqJygy3uzBggEhE8db-o1zqA7R4AfOAIVk_ljTfaeWV.png?width=640&crop=smart&auto=webp&s=0844ffc

From BBA Graduate to Deep Learning Developer Continue reading on Medium »

Lets say I have some selfie pictures where multiple people are there in that photo. I want to create a programme where I want only the picture where a specific

Real SIH brief - 9 million potholes a year in India, all reported manually. Build a system that watches dashcam video, detects road damage, GPS-tags each one, a

There is a significant gap before my first year as a CSE student begins, and I want to use that time to have some fun while learning something useful. My long t

When I first heard the words “image search”, I imagined something magical. You upload a picture of a red sneaker, and out comes a list of… Continue reading on M

When I first heard the words “image search”, I imagined something magical. You upload a picture of a red sneaker, and out comes a list of… Continue reading on M

A student project exploring traditional, machine learning, and deep learning approaches to agricultural image analysis Continue reading on Medium »

A student project exploring traditional, machine learning, and deep learning approaches to agricultural image analysis Continue reading on Medium »

“A computer does not see a landscape, a face, or a self-driving lane. It sees an infinite grid of integers. Computer Vision is the… Continue reading on Medium »

“A computer does not see a landscape, a face, or a self-driving lane. It sees an infinite grid of integers. Computer Vision is the… Continue reading on Medium »

Reproducing and Extending “CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks” (ICLR 2023) Continue reading on Medium »

The previous article discussed the static structure of caches. This part moves into dynamic aspects:...

arXiv:2606.07953v1 Announce Type: new Abstract: Large-scale Visual-Language Models (LVLMs) have achieved remarkable success in natural visual tasks, yet their a

arXiv:2606.07669v1 Announce Type: cross Abstract: Deploying Video Anomaly Detection (VAD) in real-world surveillance faces a fundamental tension between the dem

arXiv:2606.07670v1 Announce Type: cross Abstract: Deformable 3D Gaussian Splatting (D-3DGS) re-constructs dynamic scenes from monocular video by deforming a can

arXiv:2606.07708v1 Announce Type: cross Abstract: We introduce a dataset and benchmark for cross-view urban traffic perception built from synchronized ego-centr

arXiv:2606.08014v1 Announce Type: cross Abstract: Accurate 3D instance segmentation in point cloud data is critical for machine vision applications. Recent adva

arXiv:2606.08402v1 Announce Type: cross Abstract: Generating complete 3D scenes from a single image requires inferring globally consistent geometry, object rela

arXiv:2606.08415v1 Announce Type: cross Abstract: While recent text-guided video editing models excel at elementary tasks (e.g., style transfer, object insertio

arXiv:2606.08920v1 Announce Type: cross Abstract: Extracting building polygon contours from high-resolution remote sensing images is a fundamental task for vari

arXiv:2606.09243v1 Announce Type: cross Abstract: Estimating full-hand grasp pressure from egocentric video is critical for immersive VR and robotic manipulatio

arXiv:2606.09353v1 Announce Type: cross Abstract: Individual animal recognition can be useful in the search for lost or stolen pets, the tracking of individuals

arXiv:2606.09390v1 Announce Type: cross Abstract: Body movement communicates intent at distances and in conditions where neither the face, nor speech can be cap

arXiv:2606.09634v1 Announce Type: cross Abstract: 3D object detection is the backbone of perception for automated vehicles (AV) and broader intelligent transpor

arXiv:2508.05950v2 Announce Type: replace-cross Abstract: We propose CLONE, a 3DGS-based Closed-Loop differentiable Optimization framework for single-image Norm

arXiv:2601.02085v3 Announce Type: replace-cross Abstract: Strawberry-harvesting robots faced challenges such as poor visual perception, gripper misalignment, em

Before a Machine Can Recognize a Cat, a Car, or a Face, It Must First Learn to Understand Pixels Continue reading on Medium »