Papers
IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion Model
Fadi Boutros, Jonas Henry Grebe, Arjan Kuijper et al.
IHNet: Iterative Hierarchical Network Guided by High-Resolution Estimated Information for Scene Flow Estimation
Yun Wang, Cheng Chi, Min Lin et al.
Image-Free Classifier Injection for Zero-Shot Classification
Anders Christensen, Massimiliano Mancini, A. Sophia Koepke et al.
ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced Recognition
Yixuan Zhou, Yi Qu, Xing Xu et al.
ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object Detection
Tao Tu, Shun-Po Chuang, Yu-Lun Liu et al.
Imitator: Personalized Speech-driven 3D Facial Animation
Balamurugan Thambiraja, Ikhsanul Habibie, Sadegh Aliakbarian et al.
Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning
Siming Yan, Zhenpei Yang, Haoxiang Li et al.
Implicit Neural Representation for Cooperative Low-light Image Enhancement
Shuzhou Yang, Moxuan Ding, Yanmin Wu et al.
Implicit Temporal Modeling with Learnable Alignment for Video Recognition
Shuyuan Tu, Qi Dai, Zuxuan Wu et al.
Improved Knowledge Transfer for Semi-Supervised Domain Adaptation via Trico Training Strategy
Ba Hung Ngo, Yeon Jeong Chae, Jung Eun Kwon et al.
Improved Visual Fine-tuning with Natural Language Supervision
Junyang Wang, Yuanhong Xu, Juhua Hu et al.
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models
Suhyeon Lee, Hyungjin Chung, Minyoung Park et al.
Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting
Qidong Huang, Xiaoyi Dong, Dongdong Chen et al.
Improving CLIP Fine-tuning Performance
Yixuan Wei, Han Hu, Zhenda Xie et al.
Improving Continuous Sign Language Recognition with Cross-Lingual Signs
Fangyun Wei, Yutong Chen
Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations
Seogkyu Jeon, Bei Liu, Pilhyeon Lee et al.
Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors
Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang et al.
Improving Generalization in Visual Reinforcement Learning via Conflict-aware Gradient Agreement Augmentation
Siao Liu, Zhaoyu Chen, Yang Liu et al.
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning
Kaijie Zhu, Xixu Hu, Jindong Wang et al.
Improving Lens Flare Removal with General-Purpose Pipeline and Multiple Light Sources Recovery
Yuyan Zhou, Dong Liang, Songcan Chen et al.
Improving Online Lane Graph Extraction by Object-Lane Clustering
Yigit Baran Can, Alexander Liniger, Danda Pani Paudel et al.
Improving Pixel-based MIM by Reducing Wasted Modeling Capability
Yuan Liu, Songyang Zhang, Jiacheng Chen et al.
Improving Representation Learning for Histopathologic Images with Cluster Constraints
Weiyi Wu, Chongyang Gao, Joseph DiPalma et al.