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07/16/2023
Language Conditioned Traffic Generation
Simulation forms the backbone of modern self-driving development. Simula...
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05/03/2023
Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles
Safety and performance are key enablers for autonomous driving: on the o...
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01/27/2023
Tree-structured Policy Planning with Learned Behavior Models
Autonomous vehicles (AVs) need to reason about the multimodal behavior o...
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07/29/2022
Robust Trajectory Prediction against Adversarial Attacks
Trajectory prediction using deep neural networks (DNNs) is an essential ...
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07/22/2022
Multiface: A Dataset for Neural Face Rendering
Photorealistic avatars of human faces have come a long way in recent yea...
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03/27/2022
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking
Multi-Object Tracking (MOT) has rapidly progressed with the development ...
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10/18/2021
MTP: Multi-Hypothesis Tracking and Prediction for Reduced Error Propagation
Recently, there has been tremendous progress in developing each individu...
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07/23/2021
Multi-Echo LiDAR for 3D Object Detection
LiDAR sensors can be used to obtain a wide range of measurement signals ...
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07/08/2021
Multi-Modality Task Cascade for 3D Object Detection
Point clouds and RGB images are naturally complementary modalities for 3...
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04/17/2021
Wide-Baseline Multi-Camera Calibration using Person Re-Identification
We address the problem of estimating the 3D pose of a network of cameras...
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01/25/2021
Supervision by Registration and Triangulation for Landmark Detection
We present Supervision by Registration and Triangulation (SRT), an unsup...
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12/10/2020
AutoSelect: Automatic and Dynamic Detection Selection for 3D Multi-Object Tracking
3D multi-object tracking is an important component in robotic perception...
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08/20/2020
Graph Neural Networks for 3D Multi-Object Tracking
3D Multi-object tracking (MOT) is crucial to autonomous systems. Recent ...
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08/18/2020
AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics
3D multi-object tracking (MOT) is essential to applications such as auto...
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06/23/2020
Joint Detection and Multi-Object Tracking with Graph Neural Networks
Object detection and data association are critical components in multi-o...
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06/17/2020
When We First Met: Visual-Inertial Person Localization for Co-Robot Rendezvous
We aim to enable robots to visually localize a target person through the...
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06/12/2020
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning
3D Multi-object tracking (MOT) is crucial to autonomous systems. Recent ...
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03/18/2020
Sequential Forecasting of 100,000 Points
Predicting the future is a crucial first step to effective control, sinc...
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03/18/2020
Unsupervised Sequence Forecasting of 100,000 Points for Unsupervised Trajectory Forecasting
Predicting the future is a crucial first step to effective control, sinc...
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03/16/2020
Learning Shape Representations for Clothing Variations in Person Re-Identification
Person re-identification (re-ID) aims to recognize instances of the same...
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07/09/2019
A Baseline for 3D Multi-Object Tracking
3D multi-object tracking (MOT) is an essential component technology for ...
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05/04/2019
Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading
We focus on the word-level visual lipreading, which requires recognizing...
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03/23/2019
Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud
Monocular 3D scene understanding tasks, such as object size estimation, ...
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03/22/2019
On the Importance of Video Action Recognition for Visual Lipreading
We focus on the word-level visual lipreading, which requires to decode t...
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03/21/2019
Future Near-Collision Prediction from Monocular Video: Feasibility, Dataset, and Challenges
We explore the possibility of using a single monocular camera to forecas...
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11/28/2018
Deep Reinforcement Learning for Autonomous Driving
Reinforcement learning has steadily improved and outperform human in lot...
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11/28/2018
CyLKs: Unsupervised Cycle Lucas-Kanade Network for Landmark Tracking
Across a majority of modern learning-based tracking systems, expensive a...
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11/28/2018
Image Labeling with Markov Random Fields and Conditional Random Fields
Most existing methods for object segmentation in computer vision are for...
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11/17/2018
GroundNet: Segmentation-Aware Monocular Ground Plane Estimation with Geometric Consistency
We focus on the problem of estimating the orientation of the ground plan...
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07/03/2018
Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors
In this paper, we present supervision-by-registration, an unsupervised a...
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06/19/2017
Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision
Across a majority of pedestrian detection datasets, it is typically assu...
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12/15/2016