research
∙
08/23/2023
Motion-to-Matching: A Mixed Paradigm for 3D Single Object Tracking
3D single object tracking with LiDAR points is an important task in the ...
share
research
∙
06/30/2023
STTracker: Spatio-Temporal Tracker for 3D Single Object Tracking
3D single object tracking with point clouds is a critical task in 3D com...
research
∙
06/01/2023
Normalization Enhances Generalization in Visual Reinforcement Learning
Recent advances in visual reinforcement learning (RL) have led to impres...
research
∙
05/30/2023
LayerDiffusion: Layered Controlled Image Editing with Diffusion Models
Text-guided image editing has recently experienced rapid development. Ho...
research
∙
05/11/2023
Multi-modal Multi-level Fusion for 3D Single Object Tracking
3D single object tracking plays a crucial role in computer vision. Mains...
research
∙
12/12/2022
You Only Need a Good Embeddings Extractor to Fix Spurious Correlations
Spurious correlations in training data often lead to robustness issues s...
research
∙
12/09/2022
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
Machine learning models have been found to learn shortcuts – unintended ...
research
∙
12/07/2022
Multiple Object Tracking Challenge Technical Report for Team MT_IoT
This is a brief technical report of our proposed method for Multiple-Obj...
research
∙
10/02/2022
Exploiting More Information in Sparse Point Cloud for 3D Single Object Tracking
3D single object tracking is a key task in 3D computer vision. However, ...
research
∙
09/18/2022
Dual Contrastive Network for Sequential Recommendation with User and Item-Centric Perspectives
With the outbreak of today's streaming data, sequential recommendation i...
research
∙
07/20/2022
Discover and Mitigate Unknown Biases with Debiasing Alternate Networks
Deep image classifiers have been found to learn biases from datasets. To...
research
∙
06/21/2022
Enhancing Multi-view Stereo with Contrastive Matching and Weighted Focal Loss
Learning-based multi-view stereo (MVS) methods have made impressive prog...
research
∙
03/29/2022
StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis
Although progress has been made for text-to-image synthesis, previous me...
research
∙
04/29/2021
Discover the Unknown Biased Attribute of an Image Classifier
Recent works find that AI algorithms learn biases from data. Therefore, ...
research
∙
04/02/2021
UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles
Human behavior understanding with unmanned aerial vehicles (UAVs) is of ...
research
∙
06/05/2020
Wasserstein Distance guided Adversarial Imitation Learning with Reward Shape Exploration
The generative adversarial imitation learning (GAIL) has provided an adv...
research
∙
03/29/2020
Learning a Weakly-Supervised Video Actor-Action Segmentation Model with a Wise Selection
We address weakly-supervised video actor-action segmentation (VAAS), whi...
research
∙
03/25/2020
Deep Grouping Model for Unified Perceptual Parsing
The perceptual-based grouping process produces a hierarchical and compos...
research
∙
10/06/2019
Early Prediction of 30-day ICU Re-admissions Using Natural Language Processing and Machine Learning
ICU readmission is associated with longer hospitalization, mortality and...
research
∙
06/20/2019
Cooperative Lane Changing via Deep Reinforcement Learning
In this paper, we study how to learn an appropriate lane changing strate...
research
∙
04/22/2019
A Right-of-Way Based Strategy to Implement Safe and Efficient Driving at Non-Signalized Intersections for Automated Vehicles
Non-signalized intersection is a typical and common scenario for connect...
research
∙
03/28/2018