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Computer Vision
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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 219
Kinematic MeanFlow: One-Step Action Generation Policy for Robotic Foundation Models
In this paper, we study how to achieve one-step action generation in Robotic Foundation Models (RFMs), aiming to overcome the high inference latency of multi-step flow matching.UniTrackPLA: Unified Panorama-Language-Action Model for Instruction-Guided Navigation and Dynamic Person Tracking
General-purpose embodied robots should support both navigation toward language-specified destinations and dynamic person tracking under arbitrary initial target azimuths.Machine Translation for Sign Languages
Sign language machine translation has progressed substantially over the past decade, evolving from isolated sign recognition to end-to-end translation systems.Towards Fast and Disentangled Counterfactuals for Visual Foundation Models
Foundation models remain vulnerable to spurious correlations and ``Clever Hans'' strategies.EyeTAG: Eye Trajectory-Aware Gaze Estimation
Gaze estimation under natural head-eye motion underpins applications from driver monitoring to human-computer interaction.A Survey on End-to-End Autonomous Driving Training from the Perspectives of Data, Strategy, and Platform
Autonomous driving is a cornerstone technology for the future of intelligent transportation, where end-to-end learning has emerged as a transformative paradigm that directly maps multimodal sensory…Platonic Task Arithmetic
Distinct pre-trained models specialized for the same task converge to closely similar behavior, yet the parameter updates that produce it share no common coordinate system.Joint Branch-Space Transform Coding for Diffusion Activation Quantization with Classifier-Free Guidance
Post-training quantization for diffusion models increasingly exploits timestep, feature, and layer structure.A Matched-Budget Audit Framework for Recaptioned Image-Text Supervision Distributions
Recaptioned image-text corpora are now standard for text-to-image (T2I) training, with vision--language model (VLM) captioners replacing sparse alt-text by dense descriptions.Two Clocks in Diffusion MLLMs: When Answers Stabilize Before Rationales Unfold
An answer candidate in a masked diffusion MLLM can stabilize while its rationale is still unfolding.Video-Index: A Curated Meta-Benchmark for Video Understanding
A video benchmark should reward the capability it claims to measure, yet models can exploit answer options, question text, or partial visual evidence.RelationVGGT: Visual Geometry Transformers for 3D Spatial Relation Segmentation
Recent advances in 3D reconstruction have progressed from per-scene optimization to feed-forward inference, and semantic scene understanding has followed suit -- yet existing methods remain confined…Concept Driven Domain Adaptation: Finding an Abstract Needle in a Haystack
Science teachers frequently search for documentary excerpts not by describing what appears on screen, but by querying the abstract concepts they intend to teach.NarrativeFlow: Flow-Based Vision-Language-Action Model Using Robot Velocity Fields
We focus on language-conditioned flow-based manipulation, where robot flows (robot velocity fields) serve as embodiment-agnostic, motion-centric representations for leveraging data collected from…VIEScore2: Unified Image Evaluation with Spatially Grounded Explanations
Existing synthetic image evaluators typically provide only a scalar quality score and do not identify the image regions that support it.Watch Your Speech: Text-aware Video-to-Speech Synthesis with Textual Conditioning
Video-to-speech synthesis aims to generate natural-sounding speech from silent talking-face videos while ensuring phonetic accuracy.VASC: Value-Aware Sparse Attention with Cross-Layer Memory for Efficient 3D Reconstruction
Feed-forward 3D vision models such as VGGT have achieved remarkable progress, unifying camera estimation and dense scene reconstruction in a single pass.FutureWorlds: Learning Robotic World Models from Alternative Futures
Robotic world models predict action-conditioned future scenes, providing a foundation for understanding action outcomes.Towards Automatic Video Annotation with ASH: Zero-Shot Open-Vocabulary Multi-Object Tracking and Segmentation
Memory-attention-based Video Instance Segmentation (VIS) methods have demonstrated strong zero-shot tracking capability, yet their substantial memory requirements confine them to short video clips…Bootstrapping Video Interaction Generation with Synthetic State Transitions
While recent video generative models can synthesize high-fidelity videos, they struggle to portray plausible physical interactions and the resulting state transitions, a critical bottleneck for…