b'Bolei Zhou'

research

∙ 07/23/2023

Improving Out-of-Distribution Robustness of Classifiers via Generative Interpolation

Deep neural networks achieve superior performance for learning from inde...

0 Haoyue Bai, et al. ∙

research

∙ 07/11/2023

Efficient 3D Articulated Human Generation with Layered Surface Volumes

Access to high-quality and diverse 3D articulated digital human assets i...

0 Yinghao Xu, et al. ∙

research

∙ 06/27/2023

Next Steps for Human-Centered Generative AI: A Technical Perspective

Through iterative, cross-disciplinary discussions, we define and propose...

0 Xiang 'Anthony' Chen, et al. ∙

research

∙ 06/21/2023

ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling

Large-scale driving datasets such as Waymo Open Dataset and nuScenes sub...

0 Quanyi Li, et al. ∙

research

∙ 03/14/2023

V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception

Modern perception systems of autonomous vehicles are known to be sensiti...

0 Runsheng Xu, et al. ∙

research

∙ 03/03/2023

Guarded Policy Optimization with Imperfect Online Demonstrations

The Teacher-Student Framework (TSF) is a reinforcement learning setting ...

0 Zhenghai Xue, et al. ∙

research

∙ 01/20/2023

Spatial Steerability of GANs via Self-Supervision from Discriminator

Generative models make huge progress to the photorealistic image synthes...

19 Jianyuan Wang, et al. ∙

research

∙ 01/12/2023

GH-Feat: Learning Versatile Generative Hierarchical Features from GANs

Recent years witness the tremendous success of generative adversarial ne...

8 Yinghao Xu, et al. ∙

research

∙ 01/11/2023

Street-View Image Generation from a Bird's-Eye View Layout

Bird's-Eye View (BEV) Perception has received increasing attention in re...

0 Alexander Swerdlow, et al. ∙

research

∙ 12/22/2022

DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesis

Existing 3D-aware image synthesis approaches mainly focus on generating ...

3 Yinghao Xu, et al. ∙

research

∙ 12/14/2022

Towards Smooth Video Composition

Video generation requires synthesizing consistent and persistent frames ...

4 Qihang Zhang, et al. ∙

research

∙ 10/12/2022

TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios

Diverse and realistic traffic scenarios are crucial for evaluating the A...

0 Lan Feng, et al. ∙

research

∙ 09/27/2022

V2XP-ASG: Generating Adversarial Scenes for Vehicle-to-Everything Perception

Recent advancements in Vehicle-to-Everything communication technology ha...

0 Hao Xiang, et al. ∙

research

∙ 09/20/2022

Improving GANs with A Dynamic Discriminator

Discriminator plays a vital role in training generative adversarial netw...

7 Ceyuan Yang, et al. ∙

research

∙ 07/05/2022

CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers

Bird's eye view (BEV) semantic segmentation plays a crucial role in spat...

0 Runsheng Xu, et al. ∙

research

∙ 05/31/2022

Human-AI Shared Control via Frequency-based Policy Dissection

Human-AI shared control allows human to interact and collaborate with AI...

0 Quanyi Li, et al. ∙

research

∙ 04/05/2022

Action-Conditioned Contrastive Policy Pretraining

Deep visuomotor policy learning achieves promising results in control ta...

2 Qihang Zhang, et al. ∙

research

∙ 03/24/2022

Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation

Generating speech-consistent body and gesture movements is a long-standi...

0 Xian Liu, et al. ∙

research

∙ 03/21/2022

LocATe: End-to-end Localization of Actions in 3D with Transformers

Understanding a person's behavior from their 3D motion is a fundamental ...

0 Jiankai Sun, et al. ∙

research

∙ 02/17/2022

Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization

Human intervention is an effective way to inject human knowledge into th...

0 Quanyi Li, et al. ∙

research

∙ 02/13/2022

Visual Sound Localization in the Wild by Cross-Modal Interference Erasing

The task of audio-visual sound source localization has been well studied...

5 Xian Liu, et al. ∙

research

∙ 01/19/2022

Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation

Animating high-fidelity video portrait with speech audio is crucial for ...

2 Xian Liu, et al. ∙

research

∙ 01/17/2022

AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection

Object detection through either RGB images or the LiDAR point clouds has...

10 Zehui Chen, et al. ∙

research

∙ 12/20/2021

3D-aware Image Synthesis via Learning Structural and Textural Representations

Making generative models 3D-aware bridges the 2D image space and the 3D ...

7 Yinghao Xu, et al. ∙

research

∙ 12/17/2021

Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition

Semi-supervised action recognition is a challenging but important task d...

15 Yinghao Xu, et al. ∙

research

∙ 12/09/2021

SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations

Pre-training has become a standard paradigm in many computer vision task...

2 Zhenyu Li, et al. ∙

research

∙ 12/01/2021

Improving GAN Equilibrium by Raising Spatial Awareness

The success of Generative Adversarial Networks (GANs) is largely built u...

2 Jianyuan Wang, et al. ∙

research

∙ 11/18/2021

One-Shot Generative Domain Adaptation

This work aims at transferring a Generative Adversarial Network (GAN) pr...

2 Ceyuan Yang, et al. ∙

research

∙ 10/26/2021

Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization

Self-Driven Particles (SDP) describe a category of multi-agent systems c...

0 Zhenghao Peng, et al. ∙

research

∙ 10/25/2021

STransGAN: An Empirical Study on Transformer in GANs

Transformer becomes prevalent in computer vision, especially for high-le...

10 Rui Xu, et al. ∙

research

∙ 10/13/2021

Safe Driving via Expert Guided Policy Optimization

When learning common skills like driving, beginners usually have domain ...

0 Zhenghao Peng, et al. ∙

research

∙ 09/26/2021

MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning

Driving safely requires multiple capabilities from human and intelligent...

7 Quanyi Li, et al. ∙

research

∙ 09/10/2021

PlaTe: Visually-Grounded Planning with Transformers in Procedural Tasks

In this work, we study the problem of how to leverage instructional vide...

0 Jiankai Sun, et al. ∙

research

∙ 08/10/2021

Interpreting Generative Adversarial Networks for Interactive Image Generation

Great progress has been made by the advances in Generative Adversarial N...

7 Bolei Zhou, et al. ∙

research

∙ 07/09/2021

Safe Exploration by Solving Early Terminated MDP

Safe exploration is crucial for the real-world application of reinforcem...

0 Hao Sun, et al. ∙

research

∙ 06/08/2021

Data-Efficient Instance Generation from Instance Discrimination

Generative Adversarial Networks (GANs) have significantly advanced image...

2 Ceyuan Yang, et al. ∙

research

∙ 03/27/2021

TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization

Weakly supervised object localization (WSOL) is a challenging problem wh...

0 Wei Gao, et al. ∙

research

∙ 03/22/2021

Multimodal Motion Prediction with Stacked Transformers

Predicting multiple plausible future trajectories of the nearby vehicles...

3 Yicheng Liu, et al. ∙

research

∙ 03/13/2021

Unsupervised Image Transformation Learning via Generative Adversarial Networks

In this work, we study the image transformation problem by learning the ...

23 Kaiwen Zha, et al. ∙

research

∙ 02/16/2021

Instance Localization for Self-supervised Detection Pretraining

Prior research on self-supervised learning has led to considerable progr...

10 Ceyuan Yang, et al. ∙

research

∙ 01/26/2021

Deep Learning for Scene Classification: A Survey

Scene classification, aiming at classifying a scene image to one of the ...

14 Delu Zeng, et al. ∙

research

∙ 12/26/2020

Improving the Generalization of End-to-End Driving through Procedural Generation

Recently there is a growing interest in the end-to-end training of auton...

6 Quanyi Li, et al. ∙

research

∙ 12/09/2020

Positional Encoding as Spatial Inductive Bias in GANs

SinGAN shows impressive capability in learning internal patch distributi...

0 Rui Xu, et al. ∙

research

∙ 12/09/2020

Improving the Fairness of Deep Generative Models without Retraining

Generative Adversarial Networks (GANs) have recently advanced face synth...

15 Shuhan Tan, et al. ∙

research

∙ 09/28/2020

Texture Memory-Augmented Deep Patch-Based Image Inpainting

Patch-based methods and deep networks have been employed to tackle image...

15 Rui Xu, et al. ∙

research

∙ 09/10/2020

Understanding the Role of Individual Units in a Deep Neural Network

Deep neural networks excel at finding hierarchical representations that ...

11 David Bau, et al. ∙

research

∙ 08/08/2020

A Unified Framework for Shot Type Classification Based on Subject Centric Lens

Shots are key narrative elements of various videos, e.g. movies, TV seri...

2 Anyi Rao, et al. ∙

research

∙ 07/20/2020

Generative Hierarchical Features from Synthesizing Images

Generative Adversarial Networks (GANs) have recently advanced image synt...

28 Yinghao Xu, et al. ∙

research

∙ 07/13/2020

Closed-Form Factorization of Latent Semantics in GANs

A rich set of semantic attributes has been shown to emerge in the latent...

1 Yujun Shen, et al. ∙

research

∙ 06/29/2020

Unsupervised Landmark Learning from Unpaired Data

Recent attempts for unsupervised landmark learning leverage synthesized ...

14 Yinghao Xu, et al. ∙

Bolei Zhou

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