Papers
OmniZip: Audio-Guided Dynamic Token Compression for Fast Omnimodal Large Language Models
Keda Tao, Kele Shao, Bohan Yu et al.
PLACID: Identity-Preserving Multi-Object Compositing via Video Diffusion with Synthetic Trajectories
Gemma Canet Tarrés, Manel Baradad, Francesc Moreno-Noguer et al.
Trainable Log-linear Sparse Attention for Efficient Diffusion Transformers
Yifan Zhou, Zeqi Xiao, Tianyi Wei et al.
PHASE-Net: Physics-Grounded Harmonic Attention System for Efficient Remote Photoplethysmography Measurement
Bo Zhao, Dan Guo, Junzhe Cao et al.
InvAD: Inversion-based Reconstruction-Free Anomaly Detection with Diffusion Models
Shunsuke Sakai, Xiangteng He, Chunzhi Gu et al.
MV3DIS: Multi-View Mask Matching via 3D Guides for Zero-Shot 3D Instance Segmentation
Yibo Zhao, Yigong Zhang, Jin Xie
RetimeGS: Continuous-Time Reconstruction of 4D Gaussian Splatting
Xuezhen Wang, Li Ma, Yulin Shen et al.
Tokenization Allows Multimodal Large Language Models to Understand, Generate and Edit Architectural Floor Plans
Sizhong Qin, Ramon Elias Weber, Xinzheng Lu
From None to All: Self-Supervised 3D Reconstruction via Novel View Synthesis
Ranran Huang, Weixun Luo, Ye Mao et al.
QUANTIPHY: A Quantitative Benchmark Evaluating Physical Reasoning Abilities of Vision-Language Models
Li Puyin, Tiange Xiang, Ella Mao et al.
SpatialReward: Verifiable Spatial Reward Modeling for Fine-Grained Spatial Consistency in Text-to-Image Generation
Sashuai Zhou, Qiang Zhou, Junpeng Ma et al.
HiCoGen: Hierarchical Compositional Text-to-Image Generation in Diffusion Models via Reinforcement Learning
Hongji Yang, Yucheng Zhou, Wencheng Han et al.
Proxy3D: Efficient 3D Representations for Vision-Language Models via Semantic Clustering and Alignment
Jerry Jiang, Haowen Sun, Denis Gudovskiy et al.
Learning Latent Concepts for Detecting Out-of-Distribution Objects
Ting Peng, Junhao Dong, Yew-Soon Ong
Decoupled Generative Modeling for Human-Object Interaction Synthesis
Hwanhee Jung, Seunggwan Lee, Jeongyoon Yoon et al.
Mind the Gap: Transferring Labels to Align Object Detection Datasets
Mikhail Kennerley, Angelica I. Aviles-Rivero, Carola-Bibiane Schönlieb et al.
Task-Driven Implicit Representations for Automated Design of LiDAR Systems
Nikhil Behari, Aaron Young, Tzofi Klinghoffer et al.
TreeTeaming: Autonomous Red-Teaming of Vision-Language Models via Hierarchical Strategy Exploration
Chunxiao Li, Lijun Li, Jing Shao
VDE: Training-Free Accelerating Rectified Flow Model via Velocity Decomposition and Estimation
Junwen Tan, Jinglin Liang, Hongyuan Chen et al.
AnomalyVFM -- Transforming Vision Foundation Models into Zero-Shot Anomaly Detectors
Matic Fučka, Vitjan Zavrtanik, Danijel Skočaj
RegionFuse: Region-Adaptive Pixel Distribution Learning for Infrared and Visible Image Fusion
Jianghan Xia, Hong Song, Jinfu Li et al.
Computation and Communication Efficient Federated Unlearning via On-server Gradient Conflict Mitigation and Expression
Minh-Duong Nguyen, Senura Wanasekara, Le-Tuan Nguyen et al.
Otil: Accelerating Diffusion Model Inference via Communication-Efficient Multi-GPU Parallelism
Xin Li, Shujun Tian, Tao Lu et al.
Globally Optimal Pose from Orthographic Silhouettes
Agniva Sengupta, Dilara Kus, Jianning Li et al.