Papers
Parameter-Efficient Semantic Augmentation for Enhancing Open-Vocabulary Object Detection
Weihao Cao, Runqi Wang, Xiaoyue Duan et al.
Improving Motion in Image-to-Video Models via Adaptive Low-Pass Guidance
June Suk Choi, Kyungmin Lee, Sihyun Yu et al.
AstraNav-Memory: Contexts Compression for Long Memory
Junjun Hu, Xinda Xue, Botao Ren et al.
DeltaQuant: 4-bit Video Diffusion Models with Spatiotemporal Delta Smoothing
Xingyang Li, Samuel Tesfai, Zhekai Zhang et al.
Teacher-Guided Routing for Sparse Vision Mixture-of-Experts
Masahiro Kada, Ryota Yoshihashi, Satoshi Ikehata et al.
Solving Minimal Problems Without Matrix Inversion Using FFT-Based Interpolation
Haidong Wu, Snehal Bhayani, Janne Heikkila
MMR-AD: A Large-Scale Multimodal Dataset for Benchmarking General Anomaly Detection with Multimodal Large Language Models
Xincheng Yao, Zefeng Qian, Chao Shi et al.
MAD: Modality-Adaptive Decoding for Mitigating Cross-Modal Hallucinations in Multimodal Large Language Models
Sangyun Chung, Se Yeon Kim, Youngchae Chee et al.
NanoSD: Edge Efficient Foundation Model for Real Time Image Restoration
Subhajit Sanyal, Srinivas Soumitri Miriyala, Akshay Janardan Bankar et al.
HTNav: A Hybrid Navigation Framework with Tiered Structure for Urban Aerial Vision-and-Language Navigation
Chengjie Fan, Cong Pan, Zijian Liu et al.
Twin-T & TwintVQA: A Reliable Structure-Detail Separating VLM and a Comprehensive Benchmark for Chart and Table Tasks
Jiahua Bao, Siyao Cheng, Jiaxing Du et al.
TokenTrace: Multi-Concept Attribution through Watermarked Token Recovery
Li Zhang, Shruti Agarwal, John Collomosse et al.
Sparse Task Vector Mixup with Hypernetworks for Efficient Knowledge Transfer in Whole-Slide Image Prognosis
Pei Liu, Xiangxiang Zeng, Tengfei Ma et al.
MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models
Dohwan Ko, Jinyoung Park, Seoung Choi et al.
Driving on Registers
Ellington Kirby, Alexandre Boulch, Yihong Xu et al.
Revisiting Unknowns: Towards Effective and Efficient Open-Set Active Learning
Chen-Chen Zong, Yu-Qi Chi, Xie-Yang Wang et al.
RetFormer: Multimodal Retrieval for Enhancing Image Recognition
Tianrui Yu, Xiubo Liang, Hongzhi Wang
Tri-Modal Fusion Transformers for UAV-based Object Detection
Craig Iaboni, Pramod Abichandani
FUN REC * Reconstructing Functional 3D Scenes from Egocentric Interaction Videos
Alexandros Delitzas, Chenyangguang Zhang, Alexey Gavryushin et al.
Learning Diffeomorphism for Medical Image Registration with Time-Embedded Architectures Using Semigroup Regularization
Mohammadjavad Matinkia, Nilanjan Ray
Rethinking Intermediate Representation for VLM-based Robot Manipulation
Weiliang Tang, Jialin Gao, Jia-Hui Pan et al.
Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning
Ziyi Zhang, Li Shen, Deheng Ye et al.
Toward Low-Cost yet Effective Temporal Learning for UAV Tracking
Chaocan Xue, Qihua Liang, Bineng Zhong et al.
Unified Camera Positional Encoding for Controlled Video Generation
Cheng Zhang, Boying Li, Meng Wei et al.
ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology
Srikumar Sastry, Subash Khanal, Aayush Dhakal et al.