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10/22/2022
H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions
The world is filled with articulated objects that are difficult to deter...
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08/31/2021
InSeGAN: A Generative Approach to Segmenting Identical Instances in Depth Images
In this paper, we present InSeGAN, an unsupervised 3D generative adversa...
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11/14/2020
Towards Human-Level Learning of Complex Physical Puzzles
Humans quickly solve tasks in novel systems with complex dynamics, witho...
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08/31/2019
Towards Learning Affine-Invariant Representations via Data-Efficient CNNs
In this paper we propose integrating a priori knowledge into both design...
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03/26/2019
Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network
Face super-resolution methods usually aim at producing visually appealin...
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03/02/2019
Time-Delay Momentum: A Regularization Perspective on the Convergence and Generalization of Stochastic Momentum for Deep Learning
In this paper we study the problem of convergence and generalization err...
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03/02/2019
Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability
We propose a novel Equilibrated Recurrent Neural Network (ERNN) to comb...
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09/13/2018
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics
Learning robot tasks or controllers using deep reinforcement learning ha...
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07/12/2018
Sem-GAN: Semantically-Consistent Image-to-Image Translation
Unpaired image-to-image translation is the problem of mapping an image i...
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05/22/2018
