b'Haichao Zhang'

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...

0 Haichao Zhang, et al. ∙

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...

0 Yihan Hu, et al. ∙

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...

0 Lingfeng Sun, et al. ∙

research

∙ 02/02/2023

Policy Expansion for Bridging Offline-to-Online Reinforcement Learning

Pre-training with offline data and online fine-tuning using reinforcemen...

0 Haichao Zhang, et al. ∙

research

∙ 11/05/2022

Multi-Objective Evolutionary for Object Detection Mobile Architectures Search

Recently, Neural architecture search has achieved great success on class...

0 Haichao Zhang, et al. ∙

research

∙ 10/21/2022

PaCo: Parameter-Compositional Multi-Task Reinforcement Learning

The purpose of multi-task reinforcement learning (MTRL) is to train a si...

0 Lingfeng Sun, et al. ∙

research

∙ 03/20/2022

Vision Transformer with Convolutions Architecture Search

Transformers exhibit great advantages in handling computer vision tasks....

0 Haichao Zhang, et al. ∙

research

∙ 01/28/2022

Do You Need the Entropy Reward (in Practice)?

Maximum entropy (MaxEnt) RL maximizes a combination of the original task...

0 Haonan Yu, et al. ∙

research

∙ 01/28/2022

Towards Safe Reinforcement Learning with a Safety Editor Policy

We consider the safe reinforcement learning (RL) problem of maximizing u...

0 Haonan Yu, et al. ∙

research

∙ 01/24/2022

Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning

Standard model-free reinforcement learning algorithms optimize a policy ...

0 Haichao Zhang, et al. ∙

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...

0 Chenxing Wang, et al. ∙

research

∙ 10/10/2021

Sketch Me A Video

Video creation has been an attractive yet challenging task for artists t...

4 Haichao Zhang, et al. ∙

research

∙ 10/10/2021

Fine-grained Identity Preserving Landmark Synthesis for Face Reenactment

Recent face reenactment works are limited by the coarse reference landma...

3 Haichao Zhang, et al. ∙

research

∙ 04/13/2021

TASAC: Temporally Abstract Soft Actor-Critic for Continuous Control

We propose temporally abstract soft actor-critic (TASAC), an off-policy ...

0 Haonan Yu, et al. ∙

research

∙ 03/23/2021

Enhanced Gradient for Differentiable Architecture Search

In recent years, neural architecture search (NAS) methods have been prop...

0 Haichao Zhang, et al. ∙

research

∙ 03/07/2021

MetaView: Few-shot Active Object Recognition

In robot sensing scenarios, instead of passively utilizing human capture...

0 Wei Wei, et al. ∙

research

∙ 12/21/2020

Optimizing Deep Neural Networks through Neuroevolution with Stochastic Gradient Descent

Deep neural networks (DNNs) have achieved remarkable success in computer...

18 Haichao Zhang, et al. ∙

research

∙ 07/24/2019

Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training

We introduce a feature scattering-based adversarial training approach fo...

0 Haichao Zhang, et al. ∙

research

∙ 07/24/2019

Joint Adversarial Training: Incorporating both Spatial and Pixel Attacks

Conventional adversarial training methods using attacks that manipulate ...

0 Haichao Zhang, et al. ∙

research

∙ 07/24/2019

Towards Adversarially Robust Object Detection

Object detection is an important vision task and has emerged as an indis...

9 Haichao Zhang, et al. ∙

research

∙ 01/18/2019

Improving Sequence-to-Sequence Learning via Optimal Transport

Sequence-to-sequence models are commonly trained via maximum likelihood ...

0 Liqun Chen, et al. ∙

research

∙ 09/17/2018

Adversarial Text Generation via Feature-Mover's Distance

Generative adversarial networks (GANs) have achieved significant success...

0 Liqun Chen, et al. ∙

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...

0 Haonan Yu, et al. ∙

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...

0 Haichao Zhang, et al. ∙

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. ...

0 Haonan Yu, et al. ∙

research

∙ 12/20/2017

Enhance Visual Recognition under Adverse Conditions via Deep Networks

Visual recognition under adverse conditions is a very important and chal...

0 Ding Liu, et al. ∙

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...

0 Haichao Zhang, et al. ∙

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...

0 Haonan Yu, et al. ∙

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 ...

0 Haichao Zhang, et al. ∙

research

∙ 05/10/2013

Revisiting Bayesian Blind Deconvolution

Blind deconvolution involves the estimation of a sharp signal or image g...

0 David Wipf, et al. ∙

research

∙ 09/19/2012

Image Super-Resolution via Sparse Bayesian Modeling of Natural Images

Image super-resolution (SR) is one of the long-standing and active topic...

0 Haichao Zhang, et al. ∙

Haichao Zhang

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