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Xiaoliang Dai
Xiaoliang Dai
Research Scientist, Facebook
Verified email at fb.com - Homepage
Title
Cited by
Cited by
Year
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
B Wu, X Dai, P Zhang, Y Wang, F Sun, Y Wu, Y Tian, P Vajda, Y Jia, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
14962019
Visual Transformers: Where Do Transformers Really Belong in Vision Models?
B Wu, C Xu, X Dai, A Wan, P Zhang, Z Yan, M Tomizuka, JE Gonzalez, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision, 599-609, 2021
536*2021
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
A Wan, X Dai, P Zhang, Z He, Y Tian, S Xie, B Wu, M Yu, T Xu, K Chen, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2020
3362020
Chamnet: Towards efficient network design through platform-aware model adaptation
X Dai, P Zhang, B Wu, H Yin, F Sun, Y Wang, M Dukhan, Y Hu, Y Wu, ...
Proceedings of the IEEE Conference on computer vision and pattern …, 2019
3122019
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP
F Liang, B Wu, X Dai, K Li, Y Zhao, H Zhang, P Zhang, P Vajda, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
2932023
NeST: A neural network synthesis tool based on a grow-and-prune paradigm
X Dai, H Yin, NK Jha
IEEE Transactions on Computers, 2019
2692019
Token Merging: Your ViT But Faster
D Bolya, CY Fu, X Dai, P Zhang, C Feichtenhofer, J Hoffman
arXiv preprint arXiv:2210.09461, 2022
2232022
FBNetV3: Joint Architecture-Recipe Search using Predictor Pretraining
X Dai, A Wan, P Zhang, B Wu, Z He, Z Wei, K Chen, Y Tian, M Yu, P Vajda, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
172*2021
Cross-Domain Adaptive Teacher for Object Detection
YJ Li, X Dai, CY Ma, YC Liu, K Chen, B Wu, Z He, K Kitani, P Vajda
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1632022
Grow and prune compact, fast, and accurate LSTMs
X Dai, H Yin, NK Jha
IEEE Transactions on Computers, 2019
1072019
Emu: Enhancing image generation models using photogenic needles in a haystack
X Dai, J Hou, CY Ma, S Tsai, J Wang, R Wang, P Zhang, S Vandenhende, ...
arXiv preprint arXiv:2309.15807, 2023
832023
Hydra attention: Efficient attention with many heads
D Bolya, CY Fu, X Dai, P Zhang, J Hoffman
arXiv preprint arXiv:2209.07484, 2022
542022
DiabDeep: Pervasive Diabetes Diagnosis based on Wearable Medical Sensors and Efficient Neural Networks
H Yin, B Mukadam, X Dai, NK Jha
IEEE Transactions on Emerging Topics in Computing, 2019
502019
Pinme: Tracking a smartphone user around the world
A Mosenia, X Dai, P Mittal, NK Jha
IEEE Transactions on Multi-Scale Computing Systems 4 (3), 420-435, 2017
462017
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks
X Dai, H Yin, NK Jha
arXiv preprint arXiv:1905.10952, 2019
432019
Fully Dynamic Inference with Deep Neural Networks
W Xia, H Yin, X Dai, NK Jha
arXiv preprint arXiv:2007.15151, 2020
362020
Rethinking the self-attention in vision transformers
K Kim, B Wu, X Dai, P Zhang, Z Yan, P Vajda, SJ Kim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
332021
Efficientsam: Leveraged masked image pretraining for efficient segment anything
Y Xiong, B Varadarajan, L Wu, X Xiang, F Xiao, C Zhu, X Dai, D Wang, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
322024
STEERAGE: Synthesis of Neural Networks Using Architecture Search and Grow-and-Prune Methods
S Hassantabar, X Dai, NK Jha
arXiv preprint arXiv:1912.05831, 2019
302019
Fbnetv5: Neural architecture search for multiple tasks in one run
B Wu, C Li, H Zhang, X Dai, P Zhang, M Yu, J Wang, Y Lin, P Vajda
arXiv preprint arXiv:2111.10007, 2021
282021
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