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05/23/2023
The Best Defense is a Good Offense: Adversarial Augmentation against Adversarial Attacks
Many defenses against adversarial attacks (robust classifiers, randomiza...
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07/04/2021
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction
Tree Search (TS) is crucial to some of the most influential successes in...
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04/16/2021
Noise-Aware Saliency Prediction for Videos with Incomplete Gaze Data
Deep-learning-based algorithms have led to impressive results in visual-...
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03/18/2021
Robust Vision-Based Cheat Detection in Competitive Gaming
Game publishers and anti-cheat companies have been unsuccessful in block...
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03/12/2021
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles
Extracting interesting scenarios from real-world data as well as generat...
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05/14/2020
How to Close Sim-Real Gap? Transfer with Segmentation!
One fundamental difficulty in robotic learning is the sim-real gap probl...
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07/19/2019
GPU-Accelerated Atari Emulation for Reinforcement Learning
We designed and implemented a CUDA port of the Atari Learning Environmen...
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06/25/2019
Importance Estimation for Neural Network Pruning
Structural pruning of neural network parameters reduces computation, ene...
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02/07/2019
Metaoptimization on a Distributed System for Deep Reinforcement Learning
Training intelligent agents through reinforcement learning is a notoriou...
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07/26/2018
Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset
Scene motion, multiple reflections, and sensor noise introduce artifacts...
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12/08/2017
Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control
In the context of deep learning for robotics, we show effective method o...
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11/20/2017
On Nearest Neighbors in Non Local Means Denoising
To denoise a reference patch, the Non-Local-Means denoising filter proce...
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10/28/2016
Learning Adaptive Parameter Tuning for Image Processing
The non-stationary nature of image characteristics calls for adaptive pr...
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11/28/2015
