Patrick Wang — accepted AI-conference papers

2025

MAD: Memory-Augmented Detection of 3D Objects

Ben Agro, Sergio Casas, Patrick Wang, Thomas Gilles, Raquel Urtasun

CVPR 2025poster

To perceive, humans use memory to fill in gaps caused by our limited visibility, whether due to occlusion or our narrow field of view. However, most 3D object detectors are limited to using sensor evidence from a short temporal window (0.1s-0.3s). In this work, we present a simple and effective add-…

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2022

Integer-Only Zero-Shot Quantization for Efficient Speech Recognition

Sehoon Kim, Amir Gholami, Zhewei Yao, Nicholas Lee, Patrick Wang, Aniruddha Nrusimha +4

ICASSP 2022accepted

End-to-end neural network models achieve improved performance on various automatic speech recognition (ASR) tasks. However, these models perform poorly on edge hardware due to large memory and computation requirements. While quantizing model weights and/or activations to low-precision can be a promi…

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