1 code implementation • ICCV 2023 • Yunhao Ge, Yuecheng Li, Shuo Ni, Jiaping Zhao, Ming-Hsuan Yang, Laurent Itti
Reprogramming parameters are task-specific and exclusive to each task, which makes our method immune to catastrophic forgetting.
no code implementations • 26 May 2023 • Yunhao Ge, Jie Ren, Jiaping Zhao, KaiFeng Chen, Andrew Gallagher, Laurent Itti, Balaji Lakshminarayanan
Despite considerable effort, the problem remains significantly challenging in deep learning models due to their propensity to output over-confident predictions for OOD inputs.
1 code implementation • CVPR 2023 • Yunhao Ge, Jie Ren, Andrew Gallagher, Yuxiao Wang, Ming-Hsuan Yang, Hartwig Adam, Laurent Itti, Balaji Lakshminarayanan, Jiaping Zhao
We also show that our method improves across ImageNet shifted datasets, four other datasets, and other model architectures such as LiT.
1 code implementation • CVPR 2021 • Long Zhao, Yuxiao Wang, Jiaping Zhao, Liangzhe Yuan, Jennifer J. Sun, Florian Schroff, Hartwig Adam, Xi Peng, Dimitris Metaxas, Ting Liu
To evaluate the power of the learned representations, in addition to the conventional fully-supervised action recognition settings, we introduce a novel task called single-shot cross-view action recognition.
2 code implementations • 23 Oct 2020 • Ting Liu, Jennifer J. Sun, Long Zhao, Jiaping Zhao, Liangzhe Yuan, Yuxiao Wang, Liang-Chieh Chen, Florian Schroff, Hartwig Adam
Recognition of human poses and actions is crucial for autonomous systems to interact smoothly with people.
1 code implementation • ECCV 2020 • Yunhao Ge, Jiaping Zhao, Laurent Itti
After training on unbalanced discrete poses (5 classes with 6 poses per object instance, plus 5 classes with only 2 poses), we show that OPT-Net can synthesize balanced continuous new poses along yaw and pitch axes with high quality.
2 code implementations • ECCV 2020 • Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu
Depictions of similar human body configurations can vary with changing viewpoints.
Ranked #1 on Pose Retrieval on MPI-INF-3DHP
no code implementations • 20 Jul 2016 • Jiaping Zhao, Laurent Itti
Further more, we fine-tune object recognition on ImageNet by using the pretrained 2W-CNN and AlexNet features on iLab-20M, results show that significant improvements have been achieved, compared with training AlexNet from scratch.
no code implementations • 20 Jul 2016 • Jiaping Zhao, Chin-kai Chang, Laurent Itti
We show that disCNN achieves significantly better object recognition accuracies than AlexNet trained solely to predict object categories on the iLab-20M dataset, which is a large scale turntable dataset with detailed object pose and lighting information.
no code implementations • 11 Jun 2016 • Jiaping Zhao, Zerong Xi, Laurent Itti
We propose to learn multiple local Mahalanobis distance metrics to perform k-nearest neighbor (kNN) classification of temporal sequences.
no code implementations • 7 Jun 2016 • Tommaso Furlanello, Jiaping Zhao, Andrew M. Saxe, Laurent Itti, Bosco S. Tjan
Continual Learning in artificial neural networks suffers from interference and forgetting when different tasks are learned sequentially.
2 code implementations • 6 Jun 2016 • Jiaping Zhao, Laurent Itti
Dynamic Time Warping (DTW) is an algorithm to align temporal sequences with possible local non-linear distortions, and has been widely applied to audio, video and graphics data alignments.
no code implementations • CVPR 2015 • Jiaping Zhao, Christian Siagian, Laurent Itti
Predicting where humans will fixate in a scene has many practical applications.