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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 74
EXE: Egocentric Cross-Embodiment Pretraining via Factorized Latent Actions for VLA Models
Vision-Language-Action (VLA) models are bottlenecked by the scarcity of robot data.Rescuing Your Pruning: Rethinking Visual Token Pruning and Post-Training Recovery in MLLMs
Visual token pruning substantially reduces the inference cost of multimodal large language models (MLLMs), yet existing methods are mostly training-free and plug-and-play.PathKGen: Pathology Knowledge Assisted MLLM for Explainable Histopathology
Whole Slide Image (WSI) analysis serves as the fundamental method for the clinical diagnosis of cancer in digital histopathology.Scalable Unrolled Chains for MRI Reconstruction
Unrolled variational networks achieve state-of-the-art performance for accelerated MRI reconstruction, but standard end-to-end training becomes prohibitively memory intensive as the number and width…Seeing the Options: Typed Decisions over Visual Candidates with Reusable Option Memory
Agents end many steps in a typed decision over a set of candidates: which screen element to click, which product to pick.E3tereo: Improving Stereo Matching at Depth Boundaries with Learned Geometric Edges
Depth boundaries remain a major source of error in stereo matching.Traffic-Context-Aware Driver Emotion Recognition with Expectation-Deviation-Driven Inference
Driver emotion provides an important indication of how drivers perceive and evaluate ongoing traffic situations, making reliable emotion recognition an important capability for effective…A SegFormer-based model for spatial Daylight Factor prediction with comprehensive obstruction encoding and regulatory validation
Daylight compliance assessment in residential buildings requires time-consuming raytracing simulations and specialist model preparation, limiting its integration into iterative architectural design.Computer Vision Navigation for an Autonomous Vehicle Model Using Reinforcement Learning
This work aims to assess the capabilities of the reinforcement learning algorithm, Proximal Policy Optimization (PPO), in developing a policy capable of controlling the speed and steering angle of a…Road Infrastructure Perception for Autonomous Driving: Taxonomy, Representations, Tasks, and Challenges
Road infrastructure perception is a fundamental component of autonomous driving, as it recovers the structured road elements that define roadway geometry, delimit operational space, and encode…C-DFF: Concept-Level Diagnostics for Mechanism Parity in Simulation-Based Validation of Autonomous Driving Perception
Simulation is widely used in autonomous-driving validation, but matching task outputs between real and synthetic images does not guarantee that a system relies on the same visual evidence.RoboReason: Boosting Robotics-Relevant VLM Reasoning Through Scalable Data Generation
Vision-Language Models (VLMs) have demonstrated impressive performance when integrated into robot manipulation pipelines, but real-world evaluation of VLM capabilities on downstream robotics tasks…Segmentation of Moving Objects During Camera Motion Using the OWL Function
We present a principled, analytical framework for segmenting multiple independently moving rigid objects during single camera motion, built directly upon the OWL perception function.One Scan is Enough: Demonstration-Free Adaptation for Language-Guided Navigation
Deploying a language-guided navigation policy in a new building usually means watching it fail.Whispers from the Neighbors: Rethinking Caption Consensus as Inference-Time Evidence for Vision-Language Retrieval
An image is rarely described only once.ProMo3D: Probing Motion Cues in Frozen 3D Foundation Models
Feed-forward 3D foundation models have recently reshaped multi-view reconstruction, yet dynamic 4D understanding still often relies on large-scale motion supervision or hand-crafted…Grounded Exploration for Open-Ended Image Editing
Open-ended image-editing requests, such as ``decorate this room,'' admit multiple valid realizations.Grounding on Request: Learning Modality Control in Vision-Language Models
When an image and its caption disagree, can a user reliably control which one a vision-language model (VLM) follows?TrackTok: Object-Centric Video Tokenization with Semantically Persistent Tokens
We introduce TrackTok, an efficient video tokenization framework that produces object-centric tokens, i.e., tokens that consistently encode the same semantic objects across time, even as it moves…Late Breaking Results: Audio-Language-Action Models with Direct Speech Conditioning for Robotic Manipulation
Vision-language-action (VLA) models enable robots to follow instructions in typed text, limiting broader deployment in natural speech.