Papers
Reinforcement Learning-Guided Data Selection via Redundancy Assessment
Suorong Yang, Peijia Li, Furao Shen et al.
FiffDepth: Feed-forward Transformation of Diffusion-Based Generators for Detailed Depth Estimation
Yunpeng Bai, Qixing Huang
Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment
Kejia Zhang, Juanjuan Weng, Shaozi Li et al.
Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching
Giacomo Meanti, Thomas Ryckeboer, Michael Arbel et al.
Bootstrap3D: Improving Multi-view Diffusion Model with Synthetic Data
Zeyi Sun, Tong Wu, Pan Zhang et al.
LMM-Det: Make Large Multimodal Models Excel in Object Detection
Jincheng Li, Chunyu Xie, Ji Ao et al.
Trace3D: Consistent Segmentation Lifting via Gaussian Instance Tracing
Hongyu Shen, Junfeng Ni, Yixin Chen et al.
Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data
Thu Hang Phung, Duong M. Nguyen, Thanh Trung Huynh et al.
Learning Normal Flow Directly From Events
Dehao Yuan, Levi Burner, Jiayi Wu et al.
Variance-Based Pruning for Accelerating and Compressing Trained Networks
Uranik Berisha, Jens Mehnert, Alexandru Paul Condurache
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction
Yuanhao Cai, He Zhang, Kai Zhang et al.
Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views
Xiangdong Zhang, Shaofeng Zhang, Junchi Yan
Randomized Autoregressive Visual Generation
Qihang Yu, Ju He, Xueqing Deng et al.
Multi-Modal Multi-Task Unified Embedding Model (M3T-UEM): A Task-Adaptive Representation Learning Framework
Rohan Sharma, Changyou Chen, Feng-Ju Chang et al.
CO2-Net: A Physics-Informed Spatio-Temporal Model for Global Surface CO2 Reconstruction
Hao Zheng, Yuting Zheng, Hanbo Huang et al.
Neural Multi-View Self-Calibrated Photometric Stereo without Photometric Stereo Cues
Xu Cao, Takafumi Taketomi
MOVE: Motion-Guided Few-Shot Video Object Segmentation
Kaining Ying, Hengrui Hu, Henghui Ding
EMD: Explicit Motion Modeling for High-Quality Street Gaussian Splatting
Xiaobao Wei, Qingpo Wuwu, Zhongyu Zhao et al.
A Quality-Guided Mixture of Score-Fusion Experts Framework for Human Recognition
Jie Zhu, Yiyang Su, Minchul Kim et al.
MixA-Q: Revisiting Activation Sparsity for Vision Transformers from a Mixed-Precision Quantization Perspective
Weitian Wang, Rai Shubham, Cecilia De La Parra et al.
HiMTok: Learning Hierarchical Mask Tokens for Image Segmentation with Large Multimodal Model
Tao Wang, Changxu Cheng, Lingfeng Wang et al.
SuperMat: Physically Consistent PBR Material Estimation at Interactive Rates
Yijia Hong, Yuan-Chen Guo, Ran Yi et al.
MambaML: Exploring State Space Models for Multi-Label Image Classification
Xuelin Zhu, Jian Liu, Jiuxin Cao et al.
GenieBlue: Integrating both Linguistic and Multimodal Capabilities for Large Language Models on Mobile Devices
Xudong Lu, Yinghao Chen, Renshou Wu et al.