research
∙
09/04/2023
TSTTC: A Large-Scale Dataset for Time-to-Contact Estimation in Driving Scenarios
Time-to-Contact (TTC) estimation is a critical task for assessing collis...
share
research
∙
08/07/2023
FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels
LiDAR-based fully sparse architecture has garnered increasing attention....
research
∙
06/19/2023
Frame Fusion with Vehicle Motion Prediction for 3D Object Detection
In LiDAR-based 3D detection, history point clouds contain rich temporal ...
research
∙
06/08/2023
Tracking Objects with 3D Representation from Videos
Data association is a knotty problem for 2D Multiple Object Tracking due...
research
∙
04/24/2023
Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection
This paper aims for high-performance offline LiDAR-based 3D object detec...
research
∙
03/27/2023
3D Video Object Detection with Learnable Object-Centric Global Optimization
We explore long-term temporal visual correspondence-based optimization f...
research
∙
03/27/2023
Learnable Graph Matching: A Practical Paradigm for Data Association
Data association is at the core of many computer vision tasks, e.g., mul...
research
∙
01/09/2023
Deep Planar Parallax for Monocular Depth Estimation
Depth estimation is a fundamental problem in the perception system of au...
research
∙
01/06/2023
Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection
Monocular 3D lane detection is a challenging task due to its lack of dep...
research
∙
01/06/2023
Object as Query: Equipping Any 2D Object Detector with 3D Detection Ability
3D object detection from multi-view images has drawn much attention over...
research
∙
01/05/2023
Super Sparse 3D Object Detection
As the perception range of LiDAR expands, LiDAR-based 3D object detectio...
research
∙
10/26/2022
PredNAS: A Universal and Sample Efficient Neural Architecture Search Framework
In this paper, we present a general and effective framework for Neural A...
research
∙
08/20/2022
YOLOV: Making Still Image Object Detectors Great at Video Object Detection
Video object detection (VID) is challenging because of the high variatio...
research
∙
07/20/2022
Fully Sparse 3D Object Detection
As the perception range of LiDAR increases, LiDAR-based 3D object detect...
research
∙
12/13/2021
Embracing Single Stride 3D Object Detector with Sparse Transformer
In LiDAR-based 3D object detection for autonomous driving, the ratio of ...
research
∙
11/26/2021
Immortal Tracker: Tracklet Never Dies
Previous online 3D Multi-Object Tracking(3DMOT) methods terminate a trac...
research
∙
11/18/2021
SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking
3D multi-object tracking (MOT) has witnessed numerous novel benchmarks a...
research
∙
05/25/2021
Unsupervised Scale-consistent Depth Learning from Video
We propose a monocular depth estimator SC-Depth, which requires only unl...
research
∙
04/09/2021
Direct Differentiable Augmentation Search
Data augmentation has been an indispensable tool to improve the performa...
research
∙
03/30/2021
Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object Tracking
Data association across frames is at the core of Multiple Object Trackin...
research
∙
03/29/2021
LiDAR R-CNN: An Efficient and Universal 3D Object Detector
LiDAR-based 3D detection in point cloud is essential in the perception s...
research
∙
03/18/2021
RangeDet:In Defense of Range View for LiDAR-based 3D Object Detection
In this paper, we propose an anchor-free single-stage LiDAR-based 3D obj...
research
∙
03/16/2021
QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection
While general object detection with deep learning has achieved great suc...
research
∙
03/10/2021
Model-free Vehicle Tracking and State Estimation in Point Cloud Sequences
Estimating the states of surrounding traffic participants stays at the c...
research
∙
08/04/2020
1st Place Solutions of Waymo Open Dataset Challenge 2020 – 2D Object Detection Track
In this technical report, we present our solutions of Waymo Open Dataset...
research
∙
06/04/2020
Unsupervised Depth Learning in Challenging Indoor Video: Weak Rectification to Rescue
Single-view depth estimation using CNNs trained from unlabelled videos h...
research
∙
05/06/2020
UST: Unifying Spatio-Temporal Context for Trajectory Prediction in Autonomous Driving
Trajectory prediction has always been a challenging problem for autonomo...
research
∙
04/13/2020
Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training
Although two-stage object detectors have continuously advanced the state...
research
∙
04/08/2020
DMLO: Deep Matching LiDAR Odometry
LiDAR odometry is a fundamental task for various areas such as robotics,...
research
∙
09/03/2019
Cross View Fusion for 3D Human Pose Estimation
We present an approach to recover absolute 3D human poses from multi-vie...
research
∙
08/28/2019
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video
Recent work has shown that CNN-based depth and ego-motion estimators can...
research
∙
08/05/2019
Revisiting Feature Alignment for One-stage Object Detection
Recently, one-stage object detectors gain much attention due to their si...
research
∙
07/15/2019
Sequence Level Semantics Aggregation for Video Object Detection
Video objection detection (VID) has been a rising research direction in ...
research
∙
03/14/2019
SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition
Object detection and instance recognition play a central role in many AI...
research
∙
01/07/2019
Scale-Aware Trident Networks for Object Detection
Scale variation is one of the key challenges in object detection. In thi...
research
∙
11/28/2018
Spectral Feature Transformation for Person Re-identification
With the surge of deep learning techniques, the field of person re-ident...
research
∙
11/05/2018
You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization
Recently Neural Architecture Search (NAS) has aroused great interest in ...
research
∙
12/19/2017
Multi-shot Pedestrian Re-identification via Sequential Decision Making
Multi-shot pedestrian re-identification problem is at the core of survei...
research
∙
07/05/2017
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer
We have witnessed rapid evolution of deep neural network architecture de...
research
∙
07/05/2017
Like What You Like: Knowledge Distill via Neuron Selectivity Transfer
Despite deep neural networks have demonstrated extraordinary power in va...
research
∙
07/05/2017
Data-Driven Sparse Structure Selection for Deep Neural Networks
Deep convolutional neural networks have liberated its extraordinary powe...
research
∙
01/04/2017
Demystifying Neural Style Transfer
Neural Style Transfer has recently demonstrated very exciting results wh...
research
∙
11/20/2016
On The Stability of Video Detection and Tracking
In this paper, we study an important yet less explored aspect in video d...
research
∙
11/17/2016
Factorized Bilinear Models for Image Recognition
Although Deep Convolutional Neural Networks (CNNs) have liberated their ...
research
∙
03/15/2016
Revisiting Batch Normalization For Practical Domain Adaptation
Deep neural networks (DNN) have shown unprecedented success in various c...
research
∙
12/03/2015
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
MXNet is a multi-language machine learning (ML) library to ease the deve...
research
∙
05/05/2015
Empirical Evaluation of Rectified Activations in Convolutional Network
In this paper we investigate the performance of different types of recti...
research
∙
04/23/2015
Understanding and Diagnosing Visual Tracking Systems
Several benchmark datasets for visual tracking research have been propos...
research
∙
01/19/2015
Transferring Rich Feature Hierarchies for Robust Visual Tracking
Convolutional neural network (CNN) models have demonstrated great succes...
research
∙
09/10/2014
