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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 237
FORTE: Adaptive Scoring and Exact Keyframe Selection for Long-Video Question Answering
Query-aware keyframe selection enables multimodal large language models (MLLMs) to process long videos using only a small set of question-relevant frames.Gestalt: Large Multimodal Interplay Model
In this paper, we propose Gestalt, a new paradigm of large multimodal model built around multimodal interplay.Discrete Annotation, Continuous Preference: Rethinking Supervision for Accurate and Generalizable Aesthetic Image Cropping
Aesthetic image cropping aims to identify the optimal crop of an image in terms of aesthetics and composition.Right In-Place (RiP) Convolution: A Simple, General, and Near-Optimal Strategy for Memory-Efficient CNN Inference
Activation memory, not compute, limits CNN inference on constrained hardware such as microcontrollers.Just Align $\bm{x}$: Aligning Predictions, Not Representations
Representation alignment has become an effective way to accelerate diffusion training, but its benefits do not transfer reliably to pixel-space clean-image prediction.HAWK: Rethinking Multimodal Drafting for Speculative Decoding
Speculative decoding has achieved substantial lossless speedups for LLMs, but remains less effective for large vision-language models (LVLMs), where lightweight drafters struggle to use rich…VisionQ: VLM-as-a-Judge Taxonomy, Dataset and Benchmark for Qualitative Analysis in Computer Vision
Qualitative comparison figures are central evidence in computer vision papers, and vision-language models (VLMs) are increasingly used to judge them.Harnessing Vision-Language Models for Perceptual Quality Assessment and Autonomous Content Adjustment in Augmented Reality
Advancements in augmented reality (AR) continue to foster innovative solutions, facilitating novel methodologies within educational systems, healthcare delivery, and risk-mitigation protocols.Curvature Under Attack in hZACH-ViT: Gauge Symmetry, Boundary Saturation, and Adversarial Failure
Curvature is often treated as an intrinsic property of a representation, although its empirical effect also depends on coordinate scale, learned logit temperature, and numerical safeguards.SemanTok: Predictable Semantic Tokens for Efficient Autoregressive Video Generation
Recent video-based world models pair the scalability of autoregressive (AR) prediction with the visual quality of diffusion models.Soundwich: Video Generation with Layered and Controllable Audio
Recent joint audio-video generative models can synthesize realistic videos with synchronized sound, but typically generate audio as a single mixed track.FedMAD: Modulation-Aware Directional Aggregation for Federated Learning in Remote Sensing Image Classification
Federated learning (FL) has recently attracted increasing attention in remote sensing (RS) since it enables collaborative model training across decentralized RS image archives without requiring…Personalized Image Generation with Reasoning and Reflection
Personalized image generation has remained narrowly focused on conditional synthesis from curated visual exemplars, rather than capturing who a user is.What Builds the Scene? Luminance Dominates Geometry Formation in 3D Gaussian Splatting
Standard 3D Gaussian Splatting (3DGS) learns geometry and appearance jointly from RGB supervision, making it difficult to isolate how luminance and chroma contribute to the learned representation.Signal-Noise Factorization Isolates Nuisance Variation into Removable Subspaces
Recent theoretical work identified fundamental properties of representation geometry that shape inference ability of deep neural networks.Increasing Width Allows Greedy Layer-wise Training to Rival End-to-End Backpropagation in Self-Supervised Learning
End-to-end backpropagation has been the dominant mode of training in deep learning, allowing for the coordination of parameter updates across layers of a neural network.Video Evidence Indexing: Learning Where to Look from Video Previews for Token-Budgeted Long-Video Question Answering
Long-video question answering is limited by the high cost of visual tokens and by the fixed context width of current VLMs.VTV-FM: Flow Matching through Variational Terminal-Velocity Closure
Flow matching (FM) learns generative transport by fitting continuous-time motion from a simple source distribution to the data distribution.Spatially Gated Diffusion for Localized Counterfactual Chest Radiograph Editing
Editing a chest radiograph requires completing the requested change while preserving unrelated content.Paying for Too Many Tokens? Valid and Cost-Efficient Multimodal LLM Annotation with Simple Heuristics
Vision-Language Models (VLMs) enable video annotation at scale, but costs accumulate quickly: processing a typical 60-second short-form video at one frame per second requires millions of tokens.