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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 159
VIEWCRAFT: Evolving What Multimodal Agents See and How They Read It
Reusable skills improve multimodal agents without updating model weights, but their effectiveness depends on both the evidence presented and the procedure used to read it.Frequency-Step Cache: Separating Synchronization and Repair for Efficient Autoregressive Video Diffusion
Autoregressive (AR) video generation enables long-horizon synthesis but requires repeated forward passes through large diffusion transformers.When Trackers Fail: VLM-Guided Verification and Recovery for Robust Video Object Segmentation
Recent trackers built on foundation models such as the Segment Anything Model (SAM) achieve strong performance by propagating object masks through memory.Representational Difference Distillation
Knowledge distillation transfers representational knowledge from a large teacher network to a compact student.Design Choices for Multimodal Transformer Learning with Missing and Longitudinal Healthcare Data
Multimodal learning offers the potential to improve predictions by integrating complementary information from heterogeneous data sources.SceneForesee: Learning Scene Evolution for Spatiotemporal Reasoning
Large multimodal models (LMMs) need to understand how entities move and interact as a scene develops.FreeCHROMA: Generative Chroma Keying from Unaligned Background References
In film production, chroma keying composites an approved foreground performance into a new environment, but conventional workflows require coordinated background plates and dedicated harmonization.Multi-modal Representation Fusion for Long-term Microsurgical Anastomosis Trajectory Anticipation
Microsurgical anastomosis is one of the most challenging and sophisticated procedures for surgical robotics, requiring accurate manipulation of surgical instruments within a limited space to achieve…DSR-Net: Learning Dynamic Skeletal Relations for 3D Human Pose Estimation
3D human pose estimation requires accurate modeling of motion-dependent skeletal structures and inter-joint dependencies.Spatiotemporal Recognition of Abdominal Wall Layers During Optical Trocar Entry
To evaluate whether spatial context and temporal modeling improve tissue recognition during optical trocar entry, where multiple abdominal-wall tissues may be visible simultaneously.TartanMatch: Towards Universal Dense Correspondence Across Modalities
Robotic platforms combine multi-modal sensors to operate across diverse conditions, but most dense correspondence methods are limited to RGB-RGB or a small set of modality pairs.Compositional Concepts Erasing: Disentangling Object-Style via Domain Manifold Unlearning
This has catalyzed the development of machine unlearning to erase harmful concepts or copyrighted styles from a model's generative repertoire without compromising its general performance.We Have Been Interpreting Diffusion Transformer Backbone Behaviors Wrong
During a network forward call, diffusion backbones naturally produce many intermediate activations.ScienceBuddy-PV: A Verifier-Governed Recursive Improvement Protocol for Panvascular Intervention Research
ScienceBuddy-PV adapts the ScienceBuddy recursive-in-recursive design to panvascular intervention research through a structured evidence ledger, device-vessel ontology, abstention contract and…InfraWorld: Motion-Aware World Modeling for Roadside 4D Occupancy Forecasting
Roadside 4D occupancy forecasting predicts future semantic occupancy in a fixed infrastructure coordinate system.Adversarial Gradient Forcing for Robust Few-Step Autoregressive Video Generation
Autoregressive video generation models generate videos sequentially, with each new block conditioned on previously generated blocks.FrameFold: Response-Guided KV Cache Consolidation for Autoregressive Long Video Generation
In autoregressive video generation, retaining all historical key-value (KV) states increases memory usage and per-step attention costs as videos grow longer.Remembering What Matters for Long-Horizon Robotic World Models
Autoregressive robot video world models based on discrete visual tokens remain unreliable over long rollout horizons.Flow-Support-Weighted Proposals for Test-Time Verified VLA Policies
Test-time sampling promises to turn one action prediction into a set of distinct executable candidates that a verifier can choose among.Attribute-Centric Vision-Language Alignment for Fine-Grained Gait Understanding
Walking sequences reveal human-interpretable attributes related to body structure, posture, and motion.