论文解读
AV-JEPA: Extending LeJEPA to Audio-Visual Self-Supervised Learning
音视频理解 | 5.7/10
音视频理解
子标签
下方只统计已核验方向的论文记录，按已核身份去重，身份待核时按页面保留。“直接”只含明确标注该方向的论文；“含子树”同时包含下级方向。点击名称进入论文库继续筛选；数量与上方按标签名称收录的页面数不同。
论文解读
Constrained Hebbian Learning Supports Efficient Representational Allocation under Structural Constraints
音视频理解 | 6.7/10
论文解读
SceneBind: Binding What and Where Across Vision, Audio and Language
音视频理解 | 6.6/10
论文解读
AVSCap: Orchestrating Audio-Visual Synergy for Omni-modal Video Captioning
音视频理解 | 9.2/10
论文解读
Beyond Time Shifts: Adapting Omni-LLM as a Reference-Free Evaluator for Generative Audio-Visual Models
音视频理解 | 6.0/10
论文解读
SVF-CR: Synchronized Visual-Facial Cross-Refinement for Multimodal Ambivalence and Hesitancy Recognition
音视频理解 | 6.4/10
论文解读
Uncovering Latent Depression Severity for Binary Depression Detection via Advantage-weighting Ranking
音视频理解 | 7/10
论文解读
\(C^3\)ASD: Multi-Level Consistency-Driven Representation Learning
音视频理解 | 7.5/10
论文解读
AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMs
音视频理解 | 7.6/10
论文解读
AVTrack: Audio-Visual Tracking in Human-centric Complex Scenes
音视频理解 | 9.3/10
论文解读
CoLA: Cross-Modal Low-rank Adaptation for Multimodal Downstream Tasks
音视频理解 | 8.3/10
论文解读
EchoingPixels: Aliasing-Resistant Joint Token Reduction for Audio-Visual LLMs
音视频理解 | 6.3/10
论文解读
Efficient Distributed MLLM Training with Cornstarch
音视频理解 | 7/10
论文解读
Group Cognition Learning: Making Everything Better Through Controlled Two-Stage Agents Collaboration
音视频理解 | 7.3/10
论文解读
OmniFit: Bridging Modalities via Layer-Adaptive Token Compression for Omnimodal Large Language Models
音视频理解 | 6.3/10
论文解读
PRIM：Cooperative Dynamic Token Compression for Efficient Large Multimodal Models
音视频理解 | 3.6/10
论文解读
Probing Cross-modal Information Hubs in Audio-Visual LLMs
音视频理解 | 7.2/10
论文解读
TimeChat-Captioner: Scripting Multi-Scene Videos with Time-Aware and Structural Audio-Visual Captions
音视频理解 | 9.4/10
论文解读
Zero-Shot Rankability: Revealing Latent Ordinal Structure in Multimodal Large Language Models via Language
音视频理解 | 6.8/10
论文解读
A global predicted-fMRI drive signal from TRIBE does not predict YouTube replay heatmaps
音视频理解 | 7.7/10