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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: 4,999 arXiv preprints and 1 OpenAlex record.
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Newest papers, page 174
SepGen: Multi-Stem Audio-Video Separation and Generation in a Single Model
A 4D audio-visual scene comprises a video, the dynamic geometry it depicts, and the sound sources that populate it, each with its own position and trajectory.Bernoulli Flow Models: Self-Consistent Generative Modeling for Binary Data
Binary diffusion models typically require a large number of function evaluations (NFEs) to generate high-quality samples, making practical inference computationally expensive.FlyMark: Training-Free Invisible Watermarking of 3D Gaussian Splatting via a Fruit Fly Connectome
A trained 3D Gaussian Splatting (3DGS) scene ships as a portable parameter array that can be copied, pruned, requantized, or repackaged outside its training pipeline, so ownership evidence is most…SignRAG: Unified Retrieval-Augmented Gloss-Free Sign Language Translation
Contemporary decoder-only large language models (LLMs) have demonstrated strong capabilities across a wide range of domains.Rethinking Contrastive Loss in CLIP Post-training: A Complementary Framework with Frozen Text Encoder
CLIP serves as a foundational vision-language model and the de facto vision encoder for downstream VLMs such as LLaVA.CRISP: Fixing Flying Pixels in Latent LiDAR Generation via Diffusion Decoding
Latent LiDAR pipelines suffer from flying pixels: convolutional VAEs blur sharp radial depth discontinuities, yielding edge depths that back-project to points floating between surfaces.FastJEV: Understanding Redundancy for Compact JEV Inference
JEV models make multimodal decisions by directly scoring candidates.EvoKnow: Continual Knowledge Evolution for AI-Generated Image Detection
AI-generated image detectors are commonly trained on fixed generator domains and become difficult to maintain as new generative models emerge.CoPoE: Multimodal Fusion via Decomposable Disease-Coordinate Product-of-Experts for Missing-Modality Alzheimer's Diagnosis
Multimodal Alzheimer's disease (AD) diagnosis benefits from integrating heterogeneous clinical, imaging, genomic, and biomarker evidence, but clinical cohorts frequently suffer from irregular…WAM-Cache: Staleness-Bounded KV Reuse for Efficient World Action Models
World Action Models (WAMs) enable generalist robot manipulation by conditioning an action expert on representations from a pretrained video Diffusion Transformer (DiT).GroundSight at GroundLM 2026 Shared Tasks: GoldenViewVQA
GoldenViewVQA requires models to jointly answer driving-scene questions and identify the camera view containing the supporting visual evidence, making precise evidence localization as important as…Fresco++: Frequency-Guided and Canonical-Consistent Optimization for Fine-Grained Head Avatar Modeling
We propose Fresco++, a unified optimization framework for fine-grained and view-consistent head avatar reconstruction.Missing Modality-Aware Calibration for Trustworthy Brain Tumor Segmentation
Multimodal brain tumor segmentation typically leverages multiple MRI modalities, yet incomplete modality acquisition is common in clinical practice due to protocol heterogeneity and scan failures.EchoDiST: Self-distillation-based joint learning for diffusion-conditioned echocardiographic myocardial motion estimation
Motion estimation in echocardiography is essential for quantitative assessment of cardiac function and myocardial mechanics, but remains challenging due to image artifacts, limited image…DLC: A Metric-Guided Dynamic Loss Controller for Multi-Objective Training
In this paper, we introduce a metric-guided dynamic loss controller (DLC) for multi-objective image restoration.Learning to Retrieve: Internalizing Memory Retrieval for Video World Models
Video world models aim to generate explorable, 3D-consistent scene videos conditioned on camera trajectories.ProtoSemImage: Image-Valued Prototypes with Deformable Row Alignment for Interpretable Document Classification
Prototypes in classification models are almost always vectors, and a vector has no readable form.SAGE: Sink-Aware Guided Emphasis for Visual Grounding in Vision-Language Decoders
Recent large vision-language models (VLMs) pair a visual encoder with a large language model (LLM) and perform well on diverse image-text tasks, yet their reliability is often limited by decoder…Conditional Residual Prediction: Improving Autoregressive Video Diffusion without a Bidirectional Teacher
Causal video diffusion models generate video autoregressively, which suits streaming, interactive, and long-video generation.Beyond Resolution: Object-to-Image Ratio Mismatch in Instance Retrieval
Visual instance retrieval often fails when the same object appears at different apparent sizes in the query and gallery.