research
∙
08/13/2023
Camouflaged Image Synthesis Is All You Need to Boost Camouflaged Detection
Camouflaged objects that blend into natural scenes pose significant chal...
share
research
∙
06/26/2023
Imitation with Spatial-Temporal Heatmap: 2nd Place Solution for NuPlan Challenge
This paper presents our 2nd place solution for the NuPlan Challenge 2023...
research
∙
06/02/2023
Efficient Multi-Task and Transfer Reinforcement Learning with Parameter-Compositional Framework
In this work, we investigate the potential of improving multi-task train...
research
∙
02/02/2023
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning
Pre-training with offline data and online fine-tuning using reinforcemen...
research
∙
11/05/2022
Multi-Objective Evolutionary for Object Detection Mobile Architectures Search
Recently, Neural architecture search has achieved great success on class...
research
∙
10/21/2022
PaCo: Parameter-Compositional Multi-Task Reinforcement Learning
The purpose of multi-task reinforcement learning (MTRL) is to train a si...
research
∙
03/20/2022
Vision Transformer with Convolutions Architecture Search
Transformers exhibit great advantages in handling computer vision tasks....
research
∙
01/28/2022
Do You Need the Entropy Reward (in Practice)?
Maximum entropy (MaxEnt) RL maximizes a combination of the original task...
research
∙
01/28/2022
Towards Safe Reinforcement Learning with a Safety Editor Policy
We consider the safe reinforcement learning (RL) problem of maximizing u...
research
∙
01/24/2022
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning
Standard model-free reinforcement learning algorithms optimize a policy ...
research
∙
01/20/2022
Fine-Grained Trajectory-based Travel Time Estimation for Multi-city Scenarios Based on Deep Meta-Learning
Travel Time Estimation (TTE) is indispensable in intelligent transportat...
research
∙
10/10/2021
Sketch Me A Video
Video creation has been an attractive yet challenging task for artists t...
research
∙
10/10/2021
Fine-grained Identity Preserving Landmark Synthesis for Face Reenactment
Recent face reenactment works are limited by the coarse reference landma...
research
∙
04/13/2021
TASAC: Temporally Abstract Soft Actor-Critic for Continuous Control
We propose temporally abstract soft actor-critic (TASAC), an off-policy ...
research
∙
03/23/2021
Enhanced Gradient for Differentiable Architecture Search
In recent years, neural architecture search (NAS) methods have been prop...
research
∙
03/07/2021
MetaView: Few-shot Active Object Recognition
In robot sensing scenarios, instead of passively utilizing human capture...
research
∙
12/21/2020
Optimizing Deep Neural Networks through Neuroevolution with Stochastic Gradient Descent
Deep neural networks (DNNs) have achieved remarkable success in computer...
research
∙
07/24/2019
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training
We introduce a feature scattering-based adversarial training approach fo...
research
∙
07/24/2019
Joint Adversarial Training: Incorporating both Spatial and Pixel Attacks
Conventional adversarial training methods using attacks that manipulate ...
research
∙
07/24/2019
Towards Adversarially Robust Object Detection
Object detection is an important vision task and has emerged as an indis...
research
∙
01/18/2019
Improving Sequence-to-Sequence Learning via Optimal Transport
Sequence-to-sequence models are commonly trained via maximum likelihood ...
research
∙
09/17/2018
Adversarial Text Generation via Feature-Mover's Distance
Generative adversarial networks (GANs) have achieved significant success...
research
∙
05/22/2018
Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents
Recently there has been a rising interest in training agents, embodied i...
research
∙
04/26/2018
Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game
Building intelligent agents that can communicate with and learn from hum...
research
∙
01/31/2018
Interactive Grounded Language Acquisition and Generalization in a 2D World
We build a virtual agent for learning language in a 2D maze-like world. ...
research
∙
12/20/2017
Enhance Visual Recognition under Adverse Conditions via Deep Networks
Visual recognition under adverse conditions is a very important and chal...
research
∙
05/28/2017
Listen, Interact and Talk: Learning to Speak via Interaction
One of the long-term goals of artificial intelligence is to build an age...
research
∙
03/28/2017
A Deep Compositional Framework for Human-like Language Acquisition in Virtual Environment
We tackle a task where an agent learns to navigate in a 2D maze-like env...
research
∙
06/17/2013
Non-Uniform Blind Deblurring with a Spatially-Adaptive Sparse Prior
Typical blur from camera shake often deviates from the standard uniform ...
research
∙
05/10/2013
Revisiting Bayesian Blind Deconvolution
Blind deconvolution involves the estimation of a sharp signal or image g...
research
∙
09/19/2012
