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08/07/2023
Exploring the Physical World Adversarial Robustness of Vehicle Detection
Adversarial attacks can compromise the robustness of real-world detectio...
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08/04/2023
RobustMQ: Benchmarking Robustness of Quantized Models
Quantization has emerged as an essential technique for deploying deep ne...
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04/11/2023
Benchmarking the Physical-world Adversarial Robustness of Vehicle Detection
Adversarial attacks in the physical world can harm the robustness of det...
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04/08/2023
Benchmarking the Robustness of Quantized Models
Quantization has emerged as an essential technique for deploying deep ne...
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08/02/2022
ViP3D: End-to-end Visual Trajectory Prediction via 3D Agent Queries
Existing autonomous driving pipelines separate the perception module fro...
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05/02/2022
MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D Queries
Accurate and consistent 3D tracking from multiple cameras is a key compo...
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03/20/2022
FUTR3D: A Unified Sensor Fusion Framework for 3D Detection
Sensor fusion is an essential topic in many perception systems, such as ...
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12/13/2021
Embracing Single Stride 3D Object Detector with Sparse Transformer
In LiDAR-based 3D object detection for autonomous driving, the ratio of ...
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10/13/2021
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries
We introduce a framework for multi-camera 3D object detection. In contra...
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11/12/2020
RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation
We propose RIFE, a Real-time Intermediate Flow Estimation algorithm for ...
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11/26/2019
Domain-Aware Dynamic Networks
Deep neural networks with more parameters and FLOPs have higher capacity...
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05/23/2019
Interpreting Adversarially Trained Convolutional Neural Networks
We attempt to interpret how adversarially trained convolutional neural n...
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05/02/2019
You Only Propagate Once: Accelerating Adversarial Training Using Maximal Principle
Deep learning achieves state-of-the-art results in many areas. However r...
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05/02/2019
