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Xiaoliang Dai
Xiaoliang Dai
Member of Technical Staff, Microsoft AI
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
18582019
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
896*2021
Token Merging: Your ViT But Faster
D Bolya, CY Fu, X Dai, P Zhang, C Feichtenhofer, J Hoffman
arXiv preprint arXiv:2210.09461, 2022
8652022
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
7182023
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
4392020
Movie Gen: A Cast of Media Foundation Models
A Polyak, A Zohar, A Brown, A Tjandra, et al.
arXiv preprint arXiv:2410.13720v1, 2024
3632024
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
3582019
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
3352024
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
3322022
NeST: A neural network synthesis tool based on a grow-and-prune paradigm
X Dai, H Yin, NK Jha
IEEE Transactions on Computers, 2019
3202019
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
2752023
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
216*2021
Hydra attention: Efficient attention with many heads
D Bolya, CY Fu, X Dai, P Zhang, J Hoffman
arXiv preprint arXiv:2209.07484, 2022
1402022
Grow and prune compact, fast, and accurate LSTMs
X Dai, H Yin, NK Jha
IEEE Transactions on Computers, 2019
1352019
Cache me if you can: Accelerating diffusion models through block caching
F Wimbauer, B Wu, E Schoenfeld, X Dai, J Hou, Z He, A Sanakoyeu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
1162024
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
822023
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
782019
Visual transformers: Token-based image representation and processing for computer vision. arXiv
B Wu, C Xu, X Dai, A Wan, P Zhang, Z Yan, M Tomizuka, J Gonzalez, ...
arXiv preprint arXiv:2006.03677, 2020
702020
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
582023
Fully Dynamic Inference with Deep Neural Networks
W Xia, H Yin, X Dai, NK Jha
arXiv preprint arXiv:2007.15151, 2020
572020
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