Computer Vision

If you’ve ever climbed a mountain in Minecraft, sailed across a realistic ocean in a video game, or flown over an endless landscape that… Continue reading on Me

I'm taking a computer science major but have never done any programming prior to taking it. After getting over the first year courses, I can confidently say tha

For those interested, the LaTeX source of the SICP (Structure and Interpretation of Computer Programs) book was updated for better typesetting and QoL improveme

How I built a full-stack automated vehicle compliance system to track plates, process video feeds, and issue automated warnings. Continue reading on Medium »

A hands-on walkthrough of building, training, and evaluating a Convolutional Neural Network (CNN) on the Fashion-MNIST dataset using… Continue reading on Medium

A hands-on walkthrough of building, training, and evaluating a Convolutional Neural Network (CNN) on the Fashion-MNIST dataset using… Continue reading on Medium

arXiv:2606.14724v1 Announce Type: cross Abstract: Video anomaly detection in surveillance settings must balance detection accuracy against real-time throughput,

arXiv:2606.14732v1 Announce Type: cross Abstract: Autoregressive video diffusion models enable streaming generation but often degrade over long rollouts: static

arXiv:2606.14749v1 Announce Type: cross Abstract: Precision aquaculture faces a "phenotyping bottleneck" in tracking high-resolution behavioral traits, as conve

arXiv:2606.14753v1 Announce Type: cross Abstract: Image captioning is a challenging and significant task that aims to generate coherent and semantically meaning

arXiv:2606.14754v1 Announce Type: cross Abstract: Images can be segmented based on visual cues (i.e., texture segmentation) or into objects (i.e., semantic segm

arXiv:2606.14755v1 Announce Type: cross Abstract: Texture segmentation stresses foundation segmentation because meaningful regions are defined by material or re

arXiv:2606.14770v1 Announce Type: cross Abstract: Pedestrian Attribute Recognition (PAR) is critical for video surveillance, enabling forensic search and re-ide

arXiv:2606.14773v1 Announce Type: cross Abstract: We present Double-Helix Vision (DH), a geometry-based visual sampler that compresses 2D images into compact 1D

arXiv:2606.14912v1 Announce Type: cross Abstract: Despite great advances, finding accurate segmentation remains a challenging task, especially in scenarios with

arXiv:2606.14963v1 Announce Type: cross Abstract: Timely and accurate disaster damage assessment is crucial for effective emergency response, resource allocatio

arXiv:2606.15527v1 Announce Type: cross Abstract: Typical video object-centric learning (VOCL) approaches employ slot-based frameworks that rely on reconstructi

arXiv:2606.15535v1 Announce Type: cross Abstract: In a modern processor, computing is the cheap part. Most of its area and energy go to \emph{addressing} -- mov

arXiv:2606.16042v1 Announce Type: cross Abstract: This work explores the use of artificial intelligence in mobile robotics to achieve autonomous detection and p

arXiv:2606.16153v1 Announce Type: cross Abstract: Medical image segmentation plays a critical role in clinical diagnostics, treatment planning, disease monitori

arXiv:2606.16202v1 Announce Type: cross Abstract: Humans naturally understand object physics through everyday interactions, but faithfully predicting complex de

arXiv:2606.16253v1 Announce Type: cross Abstract: Vision-language-action (VLA) models increasingly rely on high-frequency multi-camera observations, making visu

arXiv:2606.16278v1 Announce Type: cross Abstract: Long-tail hazardous scenarios are essential for safety-oriented autonomous driving, yet they are difficult to

arXiv:2606.17020v1 Announce Type: cross Abstract: Remote sensing vision-language models have advanced Earth observation understanding, but most existing work re

arXiv:2410.16089v2 Announce Type: replace Abstract: The unique cost, flexibility, speed, and efficiency of modern UAVs make them an attractive choice in many ap

arXiv:2505.04397v2 Announce Type: replace-cross Abstract: Modern vision networks are dominated by additive local transformations, whereas explicit multiplicativ

arXiv:2602.07343v2 Announce Type: replace-cross Abstract: Robust semantic segmentation of road scenes under adverse illumination, lighting, and shadow condition

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SignTax คือระบบ AI สำหรับ ตรวจสอบป้ายโฆษณาและประเมินภาษีป้าย โดยมีเป้าหมายเพื่อช่วยหน่วยงานท้องถิ่น ในการคำนวณค่าภาษีป้ายโฆษณา ที่มีขอบเขต… Continue reading on

arXiv:2606.13723v1 Announce Type: cross Abstract: Intersection-over-Union (IoU), as a pivotal metric for evaluating the spatial alignment between candidate prop

arXiv:2606.13896v1 Announce Type: cross Abstract: Self-supervised geospatial foundation models (GeoFMs) learn transferable representations from remote sensing d

arXiv:2606.13898v1 Announce Type: cross Abstract: Creative image editing tools, such as Photoshop's Remove or Generative Fill buttons, are central to everyday c

arXiv:2606.14094v1 Announce Type: cross Abstract: Conventional RGB cameras have been widely used in multi-object tracking due to their ability to capture rich a

arXiv:2503.19947v2 Announce Type: replace-cross Abstract: Generalized metric depth understanding is critical for precise vision-guided robotics, which current s

The evolving legal standards for biometric data processing For developers building computer vision (CV) applications, the recent federal class certification in

Cache is a concept in browsers/applications in which data that is frequently used is fetched from cache memory (RAM) instead of being… Continue reading on Mediu

Why reliance on similarity scores is a developer's nightmare For computer vision engineers and developers working with biometrics, the news of another wrongful

the technical risk of third-party identity pipelines For developers working in computer vision and biometrics, the recent shift by major platforms like PlayStat

Neural Networks for CV and NLP — EP03 Continue reading on Medium »

Neural Networks for CV and NLP — EP03 Continue reading on Medium »

Why are the CPU and RAM two different chips? Genuinely. Who decided that? At some point someone drew a line down the middle of a computer… Continue reading on M

Paper: OmniTryOn: Video Try-On Anything at Once! Continue reading on Medium »

CNNs have been the strongest pillars of Computer Vision since its inception. Not only were they a profound concept when they were… Continue reading on Medium »

Hello everyone, I'm going to conduct a one-day virtual session on the fundamentals of Computer Vision, where I'll primarily discuss concepts directly from the o

A beginner-friendly but deep guide to how programs actually live inside memory — with storytelling, visuals, and hands-on labs Continue reading on Medium »

A beginner-friendly but deep guide to how programs actually live inside memory — with storytelling, visuals, and hands-on labs Continue reading on Medium »

And it spots patterns your nutritionist would catch — for $5/month Continue reading on Medium »

Hi all, A real story from my current experience: I'm associated with an internship where the primary work revolves around autonomous UAVs. What has shocked me t