Papers
450 papers found
Meta-Learning to Detect Rare Objects
Yu-Xiong Wang, Deva Ramanan, Martial Hebert
Score-Based Point Cloud Denoising
Shitong Luo, Wei Hu
De-Rendering Stylized Texts
Wataru Shimoda, Daichi Haraguchi, Seiichi Uchida et al.
Unsupervised Deep Video Denoising
Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent et al.
Deep Relational Metric Learning
Wenzhao Zheng, Borui Zhang, Jiwen Lu et al.
Motion Deblurring With Real Events
Fang Xu, Lei Yu, Bishan Wang et al.
Detecting Invisible People
Tarasha Khurana, Achal Dave, Deva Ramanan
Dissecting Image Crops
Basile Van Hoorick, Carl Vondrick
In Defense of Scene Graphs for Image Captioning
Kien Nguyen, Subarna Tripathi, Bang Du et al.
Efficient Deep Space Filling Curve
Wanli Chen, Xufeng Yao, Xinyun Zhang et al.
Delta Denoising Score
Amir Hertz, Kfir Aberman, Daniel Cohen-Or
Detect Anything 3D in the Wild
Hanxue Zhang, Haoran Jiang, Qingsong Yao et al.
EDM: Efficient Deep Feature Matching
Xi Li, Tong Rao, Cihui Pan
Identifying Analogies Across Domains
Yedid Hoshen, Lior Wolf
Ensemble Adversarial Training: Attacks and Defenses
Florian Tramèr, Alexey Kurakin, Nicolas Papernot et al.
Demystifying MMD GANs
Mikołaj Bińkowski, Danica J. Sutherland, Michael Arbel et al.
On Unifying Deep Generative Models
Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov et al.
Learning to Design RNA
Frederic Runge, Danny Stoll, Stefan Falkner et al.
Spectral Inference Networks: Unifying Deep and Spectral Learning
David Pfau, Stig Petersen, Ashish Agarwal et al.
Demystifying Inter-Class Disentanglement
Aviv Gabbay, Yedid Hoshen
Deep Graph Matching Consensus
Matthias Fey, Jan E. Lenssen, Christopher Morris et al.
Novelty Detection Via Blurring
Sungik Choi, Sae-Young Chung
Denoising Diffusion Implicit Models
Jiaming Song, Chenlin Meng, Stefano Ermon
Quantifying Differences in Reward Functions
Adam Gleave, Michael D Dennis, Shane Legg et al.
Knowledge Infused Decoding
Ruibo Liu, Guoqing Zheng, Shashank Gupta et al.