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: 4,999 arXiv preprints and 1 OpenAlex record.
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Newest papers, page 157
EmoTrace-Bench: Diagnosing Emotional Expression in Text-to-Video Generation through Controlled Cues and Intensity
Text-to-video (T2V) models are increasingly used to generate videos with targeted emotional expressions, yet existing evaluation methods mainly rely on holistic video-text alignment and provide…Semantic Saliency from Multi-Modal Large Language Model Scene Understanding Maps
Image-computable low-level image saliency has shaped perceptual psychology and computer science, but is limited by its inability to capture human high-level cognitive factors that influence…Structured Stateful Relational Scripts with a High-Quality Dataset for Multi-Shot Audio-Visual Video Generation
Coherent multi-shot audio-visual video generation requires maintaining consistent identities while depicting evolving states and coordinating sounds across shot boundaries.Semantically Steerable Image Tokenization
Adaptive image tokenizers compress an image into a variable number of tokens matched to its complexity, and recent work makes this allocation controllable: conditioned on a target reconstruction…GNFormer: Gaussian Neural Field Transformer for Efficient Camera-based Occupancy Prediction
Camera-based occupancy prediction provides geometric and semantic scene understanding for robot perception and has been adopted in autonomous vehicle and UAV perception systems.UMAS3D: Unified Mask-Free 3D Editing with Region-Adaptive Source Preservation
3D editing aims to modify an existing 3D asset according to user intent while preserving geometry and appearance outside the intended edit region.ELECT: Settling Identity Before Rendering for Scalable Story Visualization
Training-free story visualization without reference images must preserve recurring entities across frames while scaling to long narratives.A Plausible Future Is Not a Causal Future: Can Video Models Generate How the World Unfolds?
Large-scale video generation models are increasingly viewed as a promising path toward world models, yet their ability to capture causally coherent physical dynamics remains poorly understood.Genesis: Visual Augmentation Primitives for Multimodal Chain-of-Thought Reasoning
Recent multimodal large language models achieve promising results on visual reasoning tasks, approaching human-level performance on existing STEM benchmarks.Truncation Samplers Are Nested: Comparing Decoding Rules Is a Measurement Problem
Settling one comparison between two truncation samplers has cost six thousand A100-hours, and nothing says in advance how far apart two samplers can be.Ellipsoids from Tangents
This paper presents an algorithm for detecting and fitting multiple ellipsoids in 2D, 3D and higher-dimensional data.FireNav: Decision-Oriented Reconstruction Evidence Routing for Vision-Language Navigation in Indoor Fire Environments
In real-world indoor fire environments, visual degradation severely impairs instruction grounding, waypoint prediction, and long-horizon exploration in vision-language navigation (VLN).Squeeze-Aware-YOLO: Early Channel Recalibration and Multi-Scale Fusion for Real-Time Traffic Sign Detection
Traffic sign detection plays a vital role in intelligent transportation systems, supporting the safe operation of advanced driver assistance systems and autonomous vehicles.Lesion-Aware Attention for Mammography Segmentation with Heterogeneous Supervision
Accurate lesion segmentation in mammography is important for computer-aided breast cancer diagnosis, but dense pixel-level annotations remain costly and limited.1Step-WAM: Your World Action Model but Faster using 1-Step Action Generation
World Action Models (WAMs) unify visual world modeling and action generation, yet their real-world deployment is heavily bottlenecked by iterative action denoising and the sequential execution of…Robust Detection of Directional Adversarial Attacks in Deep Neural Networks for Radiological Imaging
Deep learning is now central to radiology, helping detect changes on X-rays, CTs, and MRIs.SurgCast: Action-Conditioned Future Skeletons for Controllable Surgical World Models
Surgical world models must turn prospective robot actions into visually faithful, structurally consistent instrument motion.Sparse All-Layer Connector for Domain Generalised Semantic Segmentation
Domain generalised semantic segmentation (DGSS) has recently benefited from combining multiple foundation models, such as vision-language and vision foundation models, to leverage their diverse…A Persian Vision-Language-Action Dataset and Benchmark for Ambiguity- and Infeasibility-Aware Instruction-to-Plan Grounding
Converting natural-language instructions into executable action plans conditioned on a scene image is a core capability for embodied human-robot interaction, but existing benchmarks target English…ProtoPur: Prototype-Purity Pseudo-Labeling for Weakly Supervised Instance Learning in Pathology
Weak bag-level labels are widely available in computational pathology, whereas reliable instance-level annotations for whole-slide images remain expensive and ambiguous.