· ai
[Paper] Frequency-Aware Token Reduction for Efficient Vision Transformer
Vision Transformers have demonstrated exceptional performance across various computer vision tasks, yet their quadratic computational complexity concerning toke...
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[Paper] MobileI2V: Fast and High-Resolution Image-to-Video on Mobile Devices
Recently, video generation has witnessed rapid advancements, drawing increasing attention to image-to-video (I2V) synthesis on mobile devices. However, the subs...
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[Paper] EvRainDrop: HyperGraph-guided Completion for Effective Frame and Event Stream Aggregation
Event cameras produce asynchronous event streams that are spatially sparse yet temporally dense. Mainstream event representation learning algorithms typically u...
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[Paper] E-M3RF: An Equivariant Multimodal 3D Re-assembly Framework
3D reassembly is a fundamental geometric problem, and in recent years it has increasingly been challenged by deep learning methods rather than classical optimiz...
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[Paper] SAM Guided Semantic and Motion Changed Region Mining for Remote Sensing Change Captioning
Remote sensing change captioning is an emerging and popular research task that aims to describe, in natural language, the content of interest that has changed b...
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[Paper] Monet: Reasoning in Latent Visual Space Beyond Images and Language
'Thinking with images' has emerged as an effective paradigm for advancing visual reasoning, extending beyond text-only chains of thought by injecting visual evi...
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[Paper] Thinking With Bounding Boxes: Enhancing Spatio-Temporal Video Grounding via Reinforcement Fine-Tuning
Spatio-temporal video grounding (STVG) requires localizing a target object in untrimmed videos both temporally and spatially from natural language descriptions....
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[Paper] Endo-G$^{2}$T: Geometry-Guided & Temporally Aware Time-Embedded 4DGS For Endoscopic Scenes
Endoscopic (endo) video exhibits strong view-dependent effects such as specularities, wet reflections, and occlusions. Pure photometric supervision misaligns wi...
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[Paper] PFF-Net: Patch Feature Fitting for Point Cloud Normal Estimation
Estimating the normal of a point requires constructing a local patch to provide center-surrounding context, but determining the appropriate neighborhood size is...
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[Paper] SurgMLLMBench: A Multimodal Large Language Model Benchmark Dataset for Surgical Scene Understanding
Recent advances in multimodal large language models (LLMs) have highlighted their potential for medical and surgical applications. However, existing surgical da...
- · ai
[Paper] Hybrid SIFT-SNN for Efficient Anomaly Detection of Traffic Flow-Control Infrastructure
This paper presents the SIFT-SNN framework, a low-latency neuromorphic signal-processing pipeline for real-time detection of structural anomalies in transport i...
- · ai
[Paper] The More, the Merrier: Contrastive Fusion for Higher-Order Multimodal Alignment
Learning joint representations across multiple modalities remains a central challenge in multimodal machine learning. Prevailing approaches predominantly operat...