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08/24/2023
I3DOD: Towards Incremental 3D Object Detection via Prompting
3D object detection has achieved significant performance in many fields,...
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06/05/2023
MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences
Occluded and long-range objects are ubiquitous and challenging for 3D ob...
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01/25/2023
DEJA VU: Continual Model Generalization For Unseen Domains
In real-world applications, deep learning models often run in non-statio...
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10/24/2022
LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations
Data augmentations are important in training high-performance 3D object ...
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10/13/2022
SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds
3D object detection in point clouds is a core component for modern robot...
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10/10/2022
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds
Developing neural models that accurately understand objects in 3D point ...
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05/11/2022
Multi-Class 3D Object Detection with Single-Class Supervision
While multi-class 3D detectors are needed in many robotics applications,...
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04/26/2022
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions
Cross-entropy loss and focal loss are the most common choices when train...
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11/11/2021
ConTesse: Accurate Occluding Contours for Smooth Surfaces
This paper proposes a method for computing the visible occluding contour...
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06/15/2021
Scene Transformer: A unified multi-task model for behavior prediction and planning
Predicting the future motion of multiple agents is necessary for plannin...
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06/10/2021
Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement
Unsupervised learning methods have recently shown their competitiveness ...
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04/20/2021
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
As autonomous driving systems mature, motion forecasting has received in...
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02/25/2021
Fresh, Fair and Energy-Efficient Content Provision in a Private and Cache-Enabled UAV Network
In this paper, we investigate a private and cache-enabled unmanned aeria...
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03/26/2020
Are Labels Necessary for Neural Architecture Search?
Existing neural network architectures in computer vision — whether desig...
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02/25/2020
Enhancing Physical Layer Security of Random Caching in Large-Scale Multi-Antenna Heterogeneous Wireless Networks
In this paper, we propose a novel secure random caching scheme for large...
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11/25/2019
Identifying Model Weakness with Adversarial Examiner
Machine learning models are usually evaluated according to the average c...
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11/21/2019
Rethinking Normalization and Elimination Singularity in Neural Networks
In this paper, we study normalization methods for neural networks from t...
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06/06/2019
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation
Deep learning algorithms, in particular 2D and 3D fully convolutional ne...
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03/25/2019
Weight Standardization
In this paper, we propose Weight Standardization (WS) to accelerate deep...
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01/10/2019
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
Recently, Neural Architecture Search (NAS) has successfully identified n...
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01/03/2019
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions
Referring object detection and referring image segmentation are importan...
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05/10/2018
Deep Nets: What have they ever done for Vision?
This is an opinion paper about the strengths and weaknesses of Deep Nets...
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03/25/2018
Scene Graph Parsing as Dependency Parsing
In this paper, we study the problem of parsing structured knowledge grap...
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03/20/2018
Self-Controlled Jamming Resilient Design Using Physical Layer Secret Keys
Direct-sequence spread spectrum (DSSS) has been recognized as an effecti...
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12/02/2017
Progressive Neural Architecture Search
We propose a method for learning CNN structures that is more efficient t...
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11/20/2017
Adversarial Attacks Beyond the Image Space
Generating adversarial examples is an intriguing problem and an importan...
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06/12/2017
Few-Shot Image Recognition by Predicting Parameters from Activations
In this paper, we are interested in the few-shot learning problem. In pa...
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03/23/2017
Recurrent Multimodal Interaction for Referring Image Segmentation
In this paper we are interested in the problem of image segmentation giv...
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03/20/2017
SORT: Second-Order Response Transform for Visual Recognition
In this paper, we reveal the importance and benefits of introducing seco...
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05/31/2016
