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08/16/2023
Radio2Text: Streaming Speech Recognition Using mmWave Radio Signals
Millimeter wave (mmWave) based speech recognition provides more possibil...
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06/20/2023
BEVScope: Enhancing Self-Supervised Depth Estimation Leveraging Bird's-Eye-View in Dynamic Scenarios
Depth estimation is a cornerstone of perception in autonomous driving an...
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06/06/2023
ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory
Large language models (LLMs) with memory are computationally universal. ...
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04/27/2023
Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving
Robotic perception requires the modeling of both 3D geometry and semanti...
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04/17/2023
Neural Map Prior for Autonomous Driving
High-definition (HD) semantic maps are crucial for autonomous vehicles n...
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08/09/2022
VectorFlow: Combining Images and Vectors for Traffic Occupancy and Flow Prediction
Predicting future behaviors of road agents is a key task in autonomous d...
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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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06/17/2022
VectorMapNet: End-to-end Vectorized HD Map Learning
Autonomous driving systems require a good understanding of surrounding e...
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06/13/2022
The Modality Focusing Hypothesis: On the Blink of Multimodal Knowledge Distillation
Multimodal knowledge distillation (KD) extends traditional knowledge dis...
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05/06/2022
Sound2Synth: Interpreting Sound via FM Synthesizer Parameters Estimation
Synthesizer is a type of electronic musical instrument that is now widel...
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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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08/22/2021
DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets
Due to the stochasticity of human behaviors, predicting the future traje...
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07/13/2021
HDMapNet: An Online HD Map Construction and Evaluation Framework
High-definition map (HD map) construction is a crucial problem for auton...
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06/27/2021
DenseTNT: Waymo Open Dataset Motion Prediction Challenge 1st Place Solution
In autonomous driving, goal-based multi-trajectory prediction methods ar...
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06/23/2021
Co-advise: Cross Inductive Bias Distillation
Transformers recently are adapted from the community of natural language...
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03/08/2021
Predictive Visual Tracking: A New Benchmark and Baseline Approach
As a crucial robotic perception capability, visual tracking has been int...
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11/02/2020
CVC: Contrastive Learning for Non-parallel Voice Conversion
Cycle consistent generative adversarial network (CycleGAN) and variation...
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09/04/2020
Multivariate Time-series Anomaly Detection via Graph Attention Network
Anomaly detection on multivariate time-series is of great importance in ...
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06/26/2020
Online 3D Bin Packing with Constrained Deep Reinforcement Learning
We solve a challenging yet practically useful variant of 3D Bin Packing ...
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12/10/2019
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
The research community has increasing interest in autonomous driving res...
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12/26/2017
