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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 205
VisualErase: Dual-Branch Visual Trajectory Redirection for Robust Concept Erasure in Text-to-Image Diffusion Models
Concept erasure is essential for the safe deployment of text-to-image diffusion models, as they may reproduce harmful, copyrighted, or privacy-sensitive content learned from unconstrained…PortraitAes: Intent-Conditioned Structured Portrait Aesthetics Assessment
Portrait aesthetic assessment assigns comparable scores according to how effectively human-centered images fulfill their photographic intent.FreeLoc: Online Floorplan Localization via Diffusion-Aided Pose Refinement
Floorplans provide compact and widely available geometric maps for indoor localization, but existing high-performing floorplan-based methods still convert them into dense scene-specific offline…EMBER-Bench: Benchmarking Cross-Event Causal Memory in Long-Horizon Embodied Tasks
Lifelong physical agents must reason over extended interactions where past events continue to shape the world long after they disappear from view.Look Where You Say You're Looking: Self-Grounded Attention for Visual Reasoning
We introduce Self-Saliency, a method for training Vision-Language Models (VLMs) to increase the alignment between their visual attention and the image regions mentioned in their reasoning.LightVLN: Efficient Aerial Vision-and-Language Navigation with Compact Memory and History-Guided Local Aggregation
Aerial vision-and-language navigation (VLN) enables unmanned aerial vehicles to execute long-horizon natural-language instructions from visual observations in complex three-dimensional environments.Triggering Generalist Reasoning via Predictive Uncertainty for Dual-System VLA
Dual-system Vision-Language-Action (VLA) models improve real-time robotic control by pairing a slow, reasoning-capable generalist with a fast specialist action expert.GeoBridge-VLA: Geometry-Aware Residual Adaptation for Vision-Language-Action Models
Vision-language-action (VLA) models encode semantic information from vision-language pretraining, but manipulation also requires precise spatial reasoning.SPACE-CLIPv2: Decoding Local Geometry from Frozen CLIP for Monocular Depth Estimation
Vision-language foundation models such as CLIP provide strong semantic representations, but their patch tokens are not directly optimized for dense metric geometry.Code2Games: Enabling Coding Agents for Gaming World Generation
Generating a high-quality gaming world from a natural-language game intent requires joint reasoning about scene structure, spatial layout, gameplay objectives, interactive entities, and executable…CoDG-Net: Structure-Guided Style Diffusion and Collaborative Learning to Mitigate Catastrophic Forgetting in Medical Image Domain Generalization
Domain Generalization (DG) for medical image segmentation is both highly challenging and critically important.Salvation Lies Within: Eliciting Inherent Style Transfer in Step-Distilled Diffusion Models
Adapting step-distilled text-to-image (T2I) models through post-training incurs additional computational costs and affects native few-step generation behavior.CGDD-Net: Context-Guided Dynamic Detail Modeling for Retinal Vessel Segmentation
Accurate retinal vessel segmentation requires features that capture vascular geometry while preserving information for fine-scale reconstruction.ReMAP: Restoring the Perceptual Cycle with Reasoning-Time Latent Visual Memory
As multimodal large language models (MLLMs) reason for longer, attention to the initial visual input diminishes, weakening visual grounding.LoopMoEVR: Loop-Based Degradation-Aware Mixture-of-Experts for Unified UHD Video Restoration
Recently, unified high-definition image restoration has attracted considerable attention; however, existing models tend to excessively increase their depth in pursuit of improved generalization…PCLM: Small-target localization with frozen CLIP via prototype contrast and local magnification
Small targets occupy few patches in a vision-language encoder, so spatial features often mix object appearance with surrounding content.Representation--Behavior Alignment for Explainable Weakly-Supervised Video Anomaly Detection
Multimodal Large Language Models (MLLMs) provide a natural way to make video anomaly detection more explainable.RoMod: Temporal Routing Modulation via Mixture-of-Experts for Video Anomaly Detection
Intermediate-layer features from multimodal large language models have shown strong potential for video anomaly detection (VAD), yet the origin of their discriminative power remains unclear.How Does Geometry Enter Generated Motion?
Under a fixed physical law, the visible geometry of a scene determines how motion must change.SemCam: Semantic Camera Motion Control for Video Generation
Controlling the camera relative to a moving subject in an existing video is challenging: behaviors such as maintaining a frontal view require the camera to adapt to the subject's changing position…