Papers
OpenRSD: Towards Open-prompts for Object Detection in Remote Sensing Images
Ziyue Huang, Yongchao Feng, Ziqi Liu et al.
MemDistill: Distilling LiDAR Knowledge into Memory for Camera-Only 3D Object Detection
Donghyeon Kwon, Youngseok Yoon, Hyeongseok Son et al.
Diffusion Image Prior
Hamadi Chihaoui, Paolo Favaro
Prompt-A-Video: Prompt Your Video Diffusion Model via Preference-Aligned LLM
Yatai Ji, Jiacheng Zhang, Jie Wu et al.
Weakly Supervised Visible-Infrared Person Re-Identification via Heterogeneous Expert Collaborative Consistency Learning
Yafei Zhang, Lingqi Kong, Huafeng Li et al.
M-Net: MRI Brain Tumor Sequential Segmentation Network via Mesh-Cast
Jiacheng Lu, Hui Ding, Shiyu Zhang et al.
GENMO: A GENeralist Model for Human MOtion
Jiefeng Li, Jinkun Cao, Haotian Zhang et al.
AnyI2V: Animating Any Conditional Image with Motion Control
Ziye Li, Hao Luo, Xincheng Shuai et al.
Image as an IMU: Estimating Camera Motion from a Single Motion-Blurred Image
Jerred Chen, Ronald Clark
Colors See Colors Ignore: Clothes Changing ReID with Color Disentanglement
Priyank Pathak, Yogesh S. Rawat
Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting
Yuqi Li, Chuanguang Yang, Hansheng Zeng et al.
Debiased Teacher for Day-to-Night Domain Adaptive Object Detection
Yiming Cui, Liang Li, Haibing Yin et al.
HouseTour: A Virtual Real Estate A(I)gent
Ata Çelen, Marc Pollefeys, Daniel Barath et al.
Learning to See Inside Opaque Liquid Containers using Speckle Vibrometry
Matan Kichler, Shai Bagon, Mark Sheinin
GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis
Bo Liu, Ke Zou, Li-Ming Zhan et al.
Rectifying Magnitude Neglect in Linear Attention
Qihang Fan, Huaibo Huang, Yuang Ai et al.
DIA: The Adversarial Exposure of Deterministic Inversion in Diffusion Models
Seunghoo Hong, Geonho Son, Juhun Lee et al.
Exploring View Consistency for Scene-Adaptive Low-Light Light Field Image Enhancement
Shuo Zhang, Chen Gao, Youfang Lin
When Lighting Deceives: Exposing Vision-Language Models' Illumination Vulnerability Through Illumination Transformation Attack
Hanqing Liu, Shouwei Ruan, Yao Huang et al.
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
Hao Fang, Jiawei Kong, Wenbo Yu et al.
Active Membership Inference Test (aMINT): Enhancing Model Auditability with Multi-Task Learning.
Daniel DeAlcala, Aythami Morales, Julian Fierrez et al.
MINERVA: Evaluating Complex Video Reasoning
Arsha Nagrani, Sachit Menon, Ahmet Iscen et al.
Understanding Museum Exhibits using Vision-Language Reasoning
Ada-Astrid Balauca, Sanjana Garai, Stefan Balauca et al.
LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D Capabilities
Chenming Zhu, Tai Wang, Wenwei Zhang et al.