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Xiaoliang Dai
Xiaoliang Dai
Research Scientist, Facebook
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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
15912019
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
633*2021
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
4072023
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
3572020
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
3262019
Token Merging: Your ViT But Faster
D Bolya, CY Fu, X Dai, P Zhang, C Feichtenhofer, J Hoffman
arXiv preprint arXiv:2210.09461, 2022
3252022
NeST: A neural network synthesis tool based on a grow-and-prune paradigm
X Dai, H Yin, NK Jha
IEEE Transactions on Computers, 2019
2852019
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
1932022
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
187*2021
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
1282023
Grow and prune compact, fast, and accurate LSTMs
X Dai, H Yin, NK Jha
IEEE Transactions on Computers, 2019
1132019
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
852024
Hydra attention: Efficient attention with many heads
D Bolya, CY Fu, X Dai, P Zhang, J Hoffman
arXiv preprint arXiv:2209.07484, 2022
802022
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
562019
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
492017
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks
X Dai, H Yin, NK Jha
arXiv preprint arXiv:1905.10952, 2019
462019
Fully Dynamic Inference with Deep Neural Networks
W Xia, H Yin, X Dai, NK Jha
arXiv preprint arXiv:2007.15151, 2020
422020
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
352021
Castling-vit: Compressing self-attention via switching towards linear-angular attention at vision transformer inference
H You, Y Xiong, X Dai, B Wu, P Zhang, H Fan, P Vajda, YC Lin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
342023
Trainable projected gradient method for robust fine-tuning
J Tian, Z He, X Dai, CY Ma, YC Liu, Z Kira
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
342023
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