AI & Machine Learning · Computer Science & AI
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 221
A Compact Explicit 4D Representation for Dynamic Scenes
A compact dynamic-scene representation must retain both the surfaces seen over time and the appearance needed to render them from new viewpoints.Flow Matching Reinforcement for 3D Mesh Generation via Dynamic Homing Optimization
Flow matching is central to 3D generation, yet in practice its reinforcement learning (RL) methods are largely adapted from 2D visual generation.When the Judge Acts: Auditing VLM-Guided Image Selection on Culturally Situated Prompts
Vision-language models (VLMs) increasingly act as judges that pick the best of several generated images, so their choices decide what users see.PickMoment: Continuous-Time Single-Image-to-Video via Learning Deblurring and Blur-to-Video
Motion blur arises from the temporal integration of a continuous sharp signal over a finite exposure window, yet existing learning-based methods sidestep this physical model and predict only the…ShelfChange3D: Object-Level 3D Change Detection for Retail Shelf Monitoring
Reliable shelf monitoring is an important capability for retail automation, yet existing out-of-stock detection methods mainly operate in image space and lack metric 3D localization for downstream…Dyna3: VLM-Guided Training-Free 4D Reconstruction via Depth Foundation Models
Recent depth foundation models like Depth Anything 3 (DA3) achieve remarkable multi-view depth estimation but assume static 3D scenes, limiting their applicability to real-world dynamic environments.ODDR: One-Step Deshadow Diffusion via Reward Guidance
Recent advances in deep learning for shadow removal have significantly enhanced image quality and realism.STAGE: Subspace-Targeted Affine Generative Erasure for Text-to-3D Models
Concept erasure suppresses a target concept while preserving behavior on unrelated inputs.ARROW: Arbitrary Reconstruction and Tracking of 4D Observations in the Wild
Dynamic scenes may be captured by a moving camera, multiple video streams, or images taken at different times.CLASP: Continual Low-rank Adapters for Spatially Placed Concepts from One Hypernetwork
Continual personalization of text-to-image diffusion models requires sequentially acquiring new concepts while retaining previously learned ones.MMVistaReason: Toward Open-Data and Post-Training Recipes for Multimodal Reasoning
Open multimodal reasoning models have benefited from large-scale reasoning supervision, yet reliable post-training remains challenging due to uneven data quality, inefficient supervision…Is it Possible to Generate Irreversible PolyProtected Templates from Face Embeddings using System-Specific Keys?
This work aims to answer the question of whether it is possible to generate irreversible protected templates when the PolyProtect biometric template protection method is applied to face embeddings…Supervising Sound Localization by In-the-wild Egomotion
We present a method for learning binaural sound localization using egomotion as a supervisory signal.AiSearch: Interactive Multi-Modal Search with VLMs
Modern retrieval systems must both be automated and interactive, allowing users to search and refine results in real time.Smoother Flow Matching via Contrastive Trajectory Repulsion
Trajectory crossing remains a critical bottleneck in Flow Matching (FM), and previous works typically view these crossings from a theoretical optimization perspective causing velocity averaging.Localisation-Aware Uncertainty for Pretrained Object Detection
Reliable uncertainty estimation is essential for deploying object detectors when distribution/covariate shift and adversarial attacks may occur.MWOP: Modality-aware Width-wise Operation Pruning for Efficient MLLMs
Multimodal large language models (MLLMs) incur substantial inference costs when processing long visual-textual sequences.The Impact of Processing Parameters on High-Accuracy Measurements in UAV Photogrammetry
Unmanned aerial vehicle (UAV) photogrammetry is increasingly used in applications requiring high accuracy, such as determining ground surface changes caused by landslides, mining, or microrelief…Uncertainty-Guided Handshake: Efficient Human-in-the-Loop Refinement for Surgical-Grade Glioma Segmentation
While state-of-the-art automated models for medical image segmentation achieve high mean performance, they frequently suffer from localized, catastrophic failures that preclude safe clinical…ALFRED: Requirement-driven development of an open-source mobile manipulator for long-term plant monitoring
Tracking seasonal change in crops and forests requires observing the same plants repeatedly.