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Computer Vision
The newest papers in Computer Vision that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
The newest 5,000 papers, from 29 September 2026 to 5 November 2026: 4,996 arXiv preprints and 4 OpenAlex records.
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Newest papers, page 232
Mutual Equilibrium: Multimodal Representation Learning through Reciprocal Feedback
This work proposes a mutual feedback architecture, MEQ, that refines the two inputs, of possibly different modalities, into a pair of coupled embeddings such that each embedding reflects the…DensePed-Lite: Quality-Aware Adaptive Detection for Dense Pedestrians under Occlusion
Pedestrian detection plays a crucial role in computer vision with applications in autonomous driving, surveillance, and public safety.From Wrecks to Wisdom: Recovering Crash Mechanics from Real-World Multi-View Photos
Estimating accident mechanics from real-world crashes is important for vehicle-safety analysis, injury modeling, crash-severity prediction, and operational workflows such as insurance claim triage.OmniReasoning: Pushing the Limits of Audio-Visual Joint Reasoning
Recent advances have enabled unified omni-modal models in understanding audio, vision, and language.Front-to-Back: Benchmarking Vision-Language Models for Asymmetric Cross-View Vehicle Re-Identification
Matching the same vehicle across front and rear cameras is difficult because the cameras do not share a view and the vehicle's appearance changes substantially.PartiCam: Camera Controlled Video Generation with Reward Guidance
We present PartiCam, a training-free Particle filtering rooted method for improved Camera controlled video generation.Lens Flare Removal and Reconstruction
The presence of lens flares in images can significantly reduce the quality of downstream application results for tasks such as 3D scene reconstruction.Comparative study of adapting pre-trained models for driving behavior video captioning
This report examines and compares some of the many fine tuning and prompting methods existing, applying them within the domain of autonomous driving.Learning Normal Diffusion Dynamics for Backdoor Defense in Text-to-Image Models
Backdoor attacks pose a serious threat to the secure deployment of text-to-image (T2I) diffusion models.EffGS: Efficient and High-Fidelity Gaussian Splatting
3D Gaussian Splatting (3DGS) enables real-time novel view synthesis, but existing general-purpose acceleration methods suffer severe rendering quality degradation when extended to more complex…RESUME: Recurrent State Updates from Motion and Residual Signals for Efficient Video Language Modeling
Existing video language models encode sampled RGB frames independently, so a long video must either exhaust the token budget or drop the changes between sampled frames.A2Z GameSpec-Bench: How Faithfully Can Coding Agents Generate Games from Game Design Specifications?
Delegating complete application development to coding agents requires preserving the intended design rather than simply producing plausible outputs through naive prompting.From Given to Gathered Evidence: Agentic Learning for Longitudinal Medical Reasoning
Foundation models can serve as clinical agents through tool-use harnesses.Invariant Shape Analysis of Surfaces with Spherical Topology
Spherical harmonic descriptors of closed 3D shapes depend on the parameterization, the pose and the scale of the surface, and the standard rotation-invariant reductions, the power spectrum and the…Steering Fields: Adaptive Vector Fields for Safe Image Generation and Beyond
As state-of-the-art text-to-image flow models achieve near-photorealistic quality, controlling their outputs, e.g., suppressing harmful content while promoting benign alternatives, has become a…A Generalizable and Explainable Framework for Synthetic Video Detection Using First-Digit Gradient Statistics
AI video generators have not only become harder to detect but are used to generate a diverse set of scenarios from landscapes to street views to animal videos.KilometerVision: A New Frontier for Large-Scale Spatial Intelligence in VLMs
We push the frontier of large-scale spatial intelligence in Vision-Language Models (VLMs) and introduce the first benchmark that probes geographical layout understanding from real-world videos…SPOON: Towards Coherent Compositional 3D Scene Generation from Uncalibrated Multi-view Images
Compositional 3D scene generation aims to recover complete 3D object shapes and their spatial arrangement from visual observations.Structural Limits of the Information-Theoretic Uncertainty Decomposition
Uncertainty estimation in machine learning typically decomposes uncertainty into aleatoric uncertainty (AU) and epistemic uncertainty (EU) using the standard information-theoretic framework.GroundAnything: Reconciling Parallel Decoding with Precise Visual Grounding at Flash Speed
Autoregressive (AR) grounding models serialize spatial predictions, introducing sequential latency and imposing a causal order on output tokens.