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07/23/2023
Improving Out-of-Distribution Robustness of Classifiers via Generative Interpolation
Deep neural networks achieve superior performance for learning from inde...
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07/11/2023
Efficient 3D Articulated Human Generation with Layered Surface Volumes
Access to high-quality and diverse 3D articulated digital human assets i...
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06/27/2023
Next Steps for Human-Centered Generative AI: A Technical Perspective
Through iterative, cross-disciplinary discussions, we define and propose...
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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...
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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...
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03/03/2023
Guarded Policy Optimization with Imperfect Online Demonstrations
The Teacher-Student Framework (TSF) is a reinforcement learning setting ...
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01/20/2023
Spatial Steerability of GANs via Self-Supervision from Discriminator
Generative models make huge progress to the photorealistic image synthes...
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01/12/2023
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs
Recent years witness the tremendous success of generative adversarial ne...
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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...
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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 ...
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12/14/2022
Towards Smooth Video Composition
Video generation requires synthesizing consistent and persistent frames ...
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10/12/2022
TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios
Diverse and realistic traffic scenarios are crucial for evaluating the A...
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09/27/2022
V2XP-ASG: Generating Adversarial Scenes for Vehicle-to-Everything Perception
Recent advancements in Vehicle-to-Everything communication technology ha...
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09/20/2022
Improving GANs with A Dynamic Discriminator
Discriminator plays a vital role in training generative adversarial netw...
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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...
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05/31/2022
Human-AI Shared Control via Frequency-based Policy Dissection
Human-AI shared control allows human to interact and collaborate with AI...
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04/05/2022
Action-Conditioned Contrastive Policy Pretraining
Deep visuomotor policy learning achieves promising results in control ta...
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03/24/2022
Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation
Generating speech-consistent body and gesture movements is a long-standi...
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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 ...
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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...
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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...
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01/19/2022
Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation
Animating high-fidelity video portrait with speech audio is crucial for ...
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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...
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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 ...
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12/17/2021
Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition
Semi-supervised action recognition is a challenging but important task d...
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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...
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12/01/2021
Improving GAN Equilibrium by Raising Spatial Awareness
The success of Generative Adversarial Networks (GANs) is largely built u...
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11/18/2021
One-Shot Generative Domain Adaptation
This work aims at transferring a Generative Adversarial Network (GAN) pr...
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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...
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10/25/2021
STransGAN: An Empirical Study on Transformer in GANs
Transformer becomes prevalent in computer vision, especially for high-le...
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10/13/2021
Safe Driving via Expert Guided Policy Optimization
When learning common skills like driving, beginners usually have domain ...
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09/26/2021
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning
Driving safely requires multiple capabilities from human and intelligent...
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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...
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08/10/2021
Interpreting Generative Adversarial Networks for Interactive Image Generation
Great progress has been made by the advances in Generative Adversarial N...
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07/09/2021
Safe Exploration by Solving Early Terminated MDP
Safe exploration is crucial for the real-world application of reinforcem...
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06/08/2021
Data-Efficient Instance Generation from Instance Discrimination
Generative Adversarial Networks (GANs) have significantly advanced image...
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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...
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03/22/2021
Multimodal Motion Prediction with Stacked Transformers
Predicting multiple plausible future trajectories of the nearby vehicles...
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03/13/2021
Unsupervised Image Transformation Learning via Generative Adversarial Networks
In this work, we study the image transformation problem by learning the ...
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02/16/2021
Instance Localization for Self-supervised Detection Pretraining
Prior research on self-supervised learning has led to considerable progr...
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01/26/2021
Deep Learning for Scene Classification: A Survey
Scene classification, aiming at classifying a scene image to one of the ...
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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...
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12/09/2020
Positional Encoding as Spatial Inductive Bias in GANs
SinGAN shows impressive capability in learning internal patch distributi...
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12/09/2020
Improving the Fairness of Deep Generative Models without Retraining
Generative Adversarial Networks (GANs) have recently advanced face synth...
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09/28/2020
Texture Memory-Augmented Deep Patch-Based Image Inpainting
Patch-based methods and deep networks have been employed to tackle image...
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09/10/2020
Understanding the Role of Individual Units in a Deep Neural Network
Deep neural networks excel at finding hierarchical representations that ...
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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...
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07/20/2020
Generative Hierarchical Features from Synthesizing Images
Generative Adversarial Networks (GANs) have recently advanced image synt...
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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...
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06/29/2020
