Zhijian Liu | DeepAI

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Featured Co-authors

Hao Li
205 publications
Joshua B. Tenenbaum
180 publications
Jie Li
179 publications
Chuang Gan
115 publications
Di Wu
111 publications
Jiaya Jia
104 publications
Han Wang
86 publications
Daniela Rus
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Song Han
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Jiajun Wu
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Hang Zhao
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∙ 09/21/2023

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

We present LongLoRA, an efficient fine-tuning approach that extends the ...

0 Yukang Chen, et al. ∙

∙ 08/24/2023

MapPrior: Bird's-Eye View Map Layout Estimation with Generative Models

Despite tremendous advancements in bird's-eye view (BEV) perception, exi...

0 Xiyue Zhu, et al. ∙

∙ 07/09/2023

CA-CentripetalNet: A novel anchor-free deep learning framework for hardhat wearing detection

Automatic hardhat wearing detection can strengthen the safety management...

0 Zhijian Liu, et al. ∙

∙ 03/30/2023

SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer

High-resolution images enable neural networks to learn richer visual rep...

1 Xuanyao Chen, et al. ∙

∙ 01/20/2023

FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer

Transformer, as an alternative to CNN, has been proven effective in many...

0 Zhijian Liu, et al. ∙

∙ 05/26/2022

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

Multi-sensor fusion is essential for an accurate and reliable autonomous...

21 Zhijian Liu, et al. ∙

∙ 04/25/2022

PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution

3D neural networks are widely used in real-world applications (e.g., AR/...

0 Zhijian Liu, et al. ∙

∙ 04/25/2022

Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications

Deep neural networks (DNNs) have achieved unprecedented success in the f...

0 Han Cai, et al. ∙

∙ 04/21/2022

TorchSparse: Efficient Point Cloud Inference Engine

Deep learning on point clouds has received increased attention thanks to...

14 Haotian Tang, et al. ∙

∙ 11/23/2021

VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles

Simulation has the potential to transform the development of robust algo...

7 Alexander Amini, et al. ∙

∙ 08/26/2021

LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision

Computer vision tasks such as object detection and semantic/instance seg...

15 Zhijian Liu, et al. ∙

∙ 05/20/2021

Efficient and Robust LiDAR-Based End-to-End Navigation

Deep learning has been used to demonstrate end-to-end neural network lea...

7 Zhijian Liu, et al. ∙

∙ 08/11/2020

Hardware-Centric AutoML for Mixed-Precision Quantization

Model quantization is a widely used technique to compress and accelerate...

7 Kuan Wang, et al. ∙

∙ 07/31/2020

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

Self-driving cars need to understand 3D scenes efficiently and accuratel...

4 Haotian Tang, et al. ∙

∙ 06/18/2020

Differentiable Augmentation for Data-Efficient GAN Training

The performance of generative adversarial networks (GANs) heavily deteri...

11 Shengyu Zhao, et al. ∙

∙ 06/15/2020

APQ: Joint Search for Network Architecture, Pruning and Quantization Policy

We present APQ for efficient deep learning inference on resource-constra...

0 Tianzhe Wang, et al. ∙

∙ 05/28/2020

HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Transformers are ubiquitous in Natural Language Processing (NLP) tasks, ...

24 Hanrui Wang, et al. ∙

∙ 04/24/2020

Lite Transformer with Long-Short Range Attention

Transformer has become ubiquitous in natural language processing (e.g., ...

0 Zhanghao Wu, et al. ∙

∙ 03/19/2020

GAN Compression: Efficient Architectures for Interactive Conditional GANs

Conditional Generative Adversarial Networks (cGANs) have enabled control...

69 Muyang Li, et al. ∙

∙ 07/08/2019

Point-Voxel CNN for Efficient 3D Deep Learning

We present Point-Voxel CNN (PVCNN) for efficient, fast 3D deep learning....

0 Zhijian Liu, et al. ∙

∙ 06/21/2019

Deep Leakage from Gradients

Exchanging gradients is a widely used method in modern multi-node machin...

2 Ligeng Zhu, et al. ∙

∙ 04/24/2019

Design Automation for Efficient Deep Learning Computing

Efficient deep learning computing requires algorithm and hardware co-des...

0 Song Han, et al. ∙

∙ 03/12/2019

Unsupervised Discovery of Parts, Structure, and Dynamics

Humans easily recognize object parts and their hierarchical structure by...

12 Zhenjia Xu, et al. ∙

∙ 11/21/2018

HAQ: Hardware-Aware Automated Quantization

Model quantization is a widely used technique to compress and accelerate...

0 Kuan Wang, et al. ∙

∙ 09/13/2018

Physical Primitive Decomposition

Objects are made of parts, each with distinct geometry, physics, functio...

4 Zhijian Liu, et al. ∙

∙ 12/31/2017

Machine Learning for Building Energy and Indoor Environment: A Perspective

Machine learning is a promising technique for many practical application...

0 Zhijian Liu, et al. ∙

∙ 10/06/2017

Performance Prediction and Optimization of Solar Water Heater via a Knowledge-Based Machine Learning Method

Measuring the performance of solar energy and heat transfer systems requ...

0 Hao Li, et al. ∙

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