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2020 – today
- 2024
[j5]Ruidong Chen, Tianci Dai, Yanfeng Zhang, Yukun Zhu
, Xin Liu, Erfan Zhao:
GBDT-IL: Incremental Learning of Gradient Boosting Decision Trees to Detect Botnets in Internet of Things. Sensors 24(7): 2083 (2024)- [c41]Hammad A. Ayyubi, Tianqi Liu, Arsha Nagrani, Xudong Lin, Mingda Zhang, Anurag Arnab, Feng Han, Yukun Zhu, Xuande Feng, Kevin Zhang, Jialu Liu, Shih-Fu Chang:
VIEWS: Entity-Aware News Video Captioning. EMNLP 2024: 20220-20239 - 2023
- [c40]Yizhuo Zhao, Yukun Zhu, Xiong Li, Ruidong Chen, Mohammad S. Obaidat, Pandi Vijayakumar:
SD-Transformer: A System-Level Denoising Transformer for Encrypted Traffic Behavior Identification. GLOBECOM 2023: 5153-5158 - [c39]Yukun Zhu, Zhizi Liu, Youyu Sheng, Yi Ying, Jingyu Zhang:
Visualizing the Improvement of the Autonomous System: Comparing Three Methods. HCI (8) 2023: 587-595 - [c38]Youlin Li, Weina Niu, Yukun Zhu, Jiacheng Gong, Beibei Li, Xiaosong Zhang:
Fuzzing Logical Bugs in eBPF Verifier with Bound-Violation Indicator. ICC 2023: 753-758 - [c37]Chenglin Yang, Siyuan Qiao, Qihang Yu, Xiaoding Yuan, Yukun Zhu, Alan L. Yuille, Hartwig Adam, Liang-Chieh Chen:
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models. ICLR 2023 - [c36]Alex Zihao Zhu, Jieru Mei, Siyuan Qiao, Hang Yan, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar:
Superpixel Transformers for Efficient Semantic Segmentation. IROS 2023: 7651-7658 - [i31]Alex Zihao Zhu, Jieru Mei, Siyuan Qiao, Hang Yan, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar:
Superpixel Transformers for Efficient Semantic Segmentation. CoRR abs/2309.16889 (2023) - [i30]Hammad A. Ayyubi, Tianqi Liu, Arsha Nagrani, Xudong Lin, Mingda Zhang, Anurag Arnab, Feng Han, Yukun Zhu, Jialu Liu, Shih-Fu Chang:
Video Summarization: Towards Entity-Aware Captions. CoRR abs/2312.02188 (2023) - [i29]Hsin-Ping Huang, Yu-Chuan Su, Deqing Sun, Lu Jiang, Xuhui Jia, Yukun Zhu, Ming-Hsuan Yang:
Fine-grained Controllable Video Generation via Object Appearance and Context. CoRR abs/2312.02919 (2023) - 2022
- [c35]Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. CVPR 2022: 2550-2560 - [c34]Yang Zhao, Yu-Chuan Su, Chun-Te Chu, Yandong Li, Marius Renn, Yukun Zhu, Changyou Chen, Xuhui Jia:
Rethinking Deep Face Restoration. CVPR 2022: 7642-7651 - [c33]Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
k-means Mask Transformer. ECCV (29) 2022: 288-307 - [c32]Yukun Zhu, Pranith R. Byreddy, Shenggang Dong, Kenneth K. O, Wooyeol Choi:
A 430GHz CMOS Concurrent Transceiver Pixel Array for High Angular Resolution Reflection-Mode Active Imaging. ISSCC 2022: 1-3 - [c31]Chun-Han Yao, Boqing Gong, Hang Qi, Yin Cui, Yukun Zhu, Ming-Hsuan Yang:
Federated Multi-Target Domain Adaptation. WACV 2022: 1081-1090 - [i28]Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar, Dragomir Anguelov:
Waymo Open Dataset: Panoramic Video Panoptic Segmentation. CoRR abs/2206.07704 (2022) - [i27]Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. CoRR abs/2206.08948 (2022) - [i26]Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
k-means Mask Transformer. CoRR abs/2207.04044 (2022) - [i25]Chenglin Yang, Siyuan Qiao, Qihang Yu, Xiaoding Yuan, Yukun Zhu, Alan L. Yuille, Hartwig Adam, Liang-Chieh Chen:
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models. CoRR abs/2210.01820 (2022) - 2021
- [c30]Bardia Doosti, Ching-Hui Chen, Raviteja Vemulapalli, Xuhui Jia, Yukun Zhu, Bradley Green:
Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze. AAAI 2021: 1273-1281 - [c29]Yandong Li, Xuhui Jia, Ruoxin Sang, Yukun Zhu, Bradley Green, Liqiang Wang, Boqing Gong:
Ranking Neural Checkpoints. CVPR 2021: 2663-2673 - [c28]Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov, Andrew Howard, Brendan Jou, Yukun Zhu, Li Zhang, Rebecca Hwa, Adriana Kovashka:
BasisNet: Two-Stage Model Synthesis for Efficient Inference. CVPR Workshops 2021: 3081-3090 - [c27]Siyuan Qiao, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
VIP-DeepLab: Learning Visual Perception With Depth-Aware Video Panoptic Segmentation. CVPR 2021: 3997-4008 - [c26]Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
MaX-DeepLab: End-to-End Panoptic Segmentation With Mask Transformers. CVPR 2021: 5463-5474 - [c25]Xuhui Jia, Kai Han, Yukun Zhu, Bradley Green:
Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data. ICCV 2021: 590-599 - [c24]Mark Weber, Jun Xie, Maxwell D. Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixé, Liang-Chieh Chen:
STEP: Segmenting and Tracking Every Pixel. NeurIPS Datasets and Benchmarks 2021 - [i24]Mark Weber, Jun Xie, Maxwell D. Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixé, Liang-Chieh Chen:
STEP: Segmenting and Tracking Every Pixel. CoRR abs/2102.11859 (2021) - [i23]Xuhui Jia, Kai Han, Yukun Zhu, Bradley Green:
Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data. CoRR abs/2104.12673 (2021) - [i22]Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov, Andrew G. Howard, Brendan Jou, Yukun Zhu, Li Zhang, Rebecca Hwa, Adriana Kovashka:
BasisNet: Two-stage Model Synthesis for Efficient Inference. CoRR abs/2105.03014 (2021) - [i21]Mark Weber, Huiyu Wang, Siyuan Qiao, Jun Xie, Maxwell D. Collins, Yukun Zhu, Liangzhe Yuan, Dahun Kim, Qihang Yu, Daniel Cremers, Laura Leal-Taixé, Alan L. Yuille, Florian Schroff, Hartwig Adam, Liang-Chieh Chen:
DeepLab2: A TensorFlow Library for Deep Labeling. CoRR abs/2106.09748 (2021) - [i20]Chun-Han Yao, Boqing Gong, Yin Cui, Hang Qi, Yukun Zhu, Ming-Hsuan Yang:
Federated Multi-Target Domain Adaptation. CoRR abs/2108.07792 (2021) - 2020
- [c23]Pranith R. Byreddy, Yukun Zhu, Harshpreet S. Bakshi, Kenneth K. O, Wooyeol Choi:
287-GHz CMOS Transceiver Pixel Array in a QFN Package for Active Imaging. A-SSCC 2020: 1-4 - [c22]Yu Liu, Xuhui Jia, Mingxing Tan, Raviteja Vemulapalli, Yukun Zhu, Bradley Green, Xiaogang Wang:
Search to Distill: Pearls Are Everywhere but Not the Eyes. CVPR 2020: 7536-7545 - [c21]Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen:
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation. CVPR 2020: 12472-12482 - [c20]Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation. ECCV (4) 2020: 108-126 - [c19]Lifang Gao, Yangyang Lian, Huifeng Yang, Rui Xin, Zhuozhi Yu, Wenwei Chen, Wei Liu, Yefeng Zhang, Yukun Zhu, Siya Xu, Shaoyong Guo, Yanjin Cheng:
Continuous Authentication of Mouse Dynamics Based on Decision Level Fusion. IWCMC 2020: 210-214 - [i19]Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation. CoRR abs/2003.07853 (2020) - [i18]Bardia Doosti, Ching-Hui Chen, Raviteja Vemulapalli, Xuhui Jia, Yukun Zhu, Bradley Green:
Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze. CoRR abs/2010.07811 (2020) - [i17]Yandong Li, Xuhui Jia, Ruoxin Sang, Yukun Zhu, Bradley Green, Liqiang Wang, Boqing Gong:
Ranking Neural Checkpoints. CoRR abs/2011.11200 (2020) - [i16]Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers. CoRR abs/2012.00759 (2020) - [i15]Siyuan Qiao, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation. CoRR abs/2012.05258 (2020)
2010 – 2019
- 2019
- [j4]Chunhui Fang, Wenmin Yu, Yukun Zhu, Liang Wu, Tianyu Pen, Xiaowei Sun:
Impacts of phase-locked loop bandwidth on millimeter wave three-dimensional imaging system. IEICE Electron. Express 16(11): 20190187 (2019) - [c18]Yukun Zhu, Hao Wang, Kai Kang, Omeed Momeni:
A Low Power Sub-harmonic Self-Oscillating Mixer with 16.8dB conversion loss at 310GHz in 65nm CMOS. CICC 2019: 1-4 - [c17]Andrew Howard, Ruoming Pang, Hartwig Adam, Quoc V. Le, Mark Sandler, Bo Chen, Weijun Wang, Liang-Chieh Chen, Mingxing Tan, Grace Chu, Vijay Vasudevan, Yukun Zhu:
Searching for MobileNetV3. ICCV 2019: 1314-1324 - [c16]Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Honghui Shi:
SPGNet: Semantic Prediction Guidance for Scene Parsing. ICCV 2019: 5217-5227 - [c15]Yukun Zhu, Pranith R. Byreddy, Kenneth K. O, Wooyeol Choi:
426-GHz Imaging Pixel Integrating a Transmitter and a Coherent Receiver with an Area of 380×47μm2 in 65-nm CMOS. VLSI Circuits 2019: 18- - [i14]Tien-Ju Yang, Maxwell D. Collins, Yukun Zhu, Jyh-Jing Hwang, Ting Liu, Xiao Zhang, Vivienne Sze, George Papandreou, Liang-Chieh Chen:
DeeperLab: Single-Shot Image Parser. CoRR abs/1902.05093 (2019) - [i13]Andrew Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang, Vijay Vasudevan, Quoc V. Le, Hartwig Adam:
Searching for MobileNetV3. CoRR abs/1905.02244 (2019) - [i12]Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Honghui Shi:
SPGNet: Semantic Prediction Guidance for Scene Parsing. CoRR abs/1908.09798 (2019) - [i11]Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen:
Panoptic-DeepLab. CoRR abs/1910.04751 (2019) - [i10]Yu Liu, Xuhui Jia, Mingxing Tan, Raviteja Vemulapalli, Yukun Zhu, Bradley Green, Xiaogang Wang:
Search to Distill: Pearls are Everywhere but not the Eyes. CoRR abs/1911.09074 (2019) - [i9]Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen:
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation. CoRR abs/1911.10194 (2019) - 2018
- [j3]Xiaozhi Chen, Kaustav Kundu, Yukun Zhu, Huimin Ma, Sanja Fidler, Raquel Urtasun:
3D Object Proposals Using Stereo Imagery for Accurate Object Class Detection. IEEE Trans. Pattern Anal. Mach. Intell. 40(5): 1259-1272 (2018) - [c14]Qian Zhong, Wooyeol Choi, Dae Yeon Kim, Zeshan Ahmad, Rui Xu, Yaming Zhang, Ruonan Han, Sandeep Kshattry, Navneet Sharma, Z.-Y. Chen, Dongha Shim, Swaminathan Sankaran, Eunyoung Seok, Chuying Mao, Frank C. De Lucia, James P. McMillan, Christopher F. Neese, Insoo Kim, Ibukunoluwa Momson, Pavan Yelleswarapu, Shenggang Dong, Behnam Pouya, Pranith R. Byreddy, Z. Chen, Yukun Zhu, Suprovo Ghosh, Toan Dinh, Farzaneh Jalalibidgoli, J. Newman, Kenneth K. O:
CMOS terahertz receivers. CICC 2018: 1-8 - [c13]Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, Hartwig Adam:
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation. ECCV (7) 2018: 833-851 - [c12]Liang-Chieh Chen, Maxwell D. Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, Jonathon Shlens:
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction. NeurIPS 2018: 8713-8724 - [i8]Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, Hartwig Adam:
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation. CoRR abs/1802.02611 (2018) - [i7]Liang-Chieh Chen, Maxwell D. Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, Jonathon Shlens:
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction. CoRR abs/1809.04184 (2018) - 2017
- [c11]Michael Figurnov, Maxwell D. Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry P. Vetrov, Ruslan Salakhutdinov:
Spatially Adaptive Computation Time for Residual Networks. CVPR 2017: 1790-1799 - 2016
- [j2]Hongbo Liu, Kun Wang, Dong Peng, Hui Li, Yukun Zhu, Shuang Zhang, Muhan Liu, Jie Tian:
Curve-Driven-Based Acoustic Inversion for Photoacoustic Tomography. IEEE Trans. Medical Imaging 35(12): 2546-2557 (2016) - [c10]Makarand Tapaswi, Yukun Zhu, Rainer Stiefelhagen, Antonio Torralba, Raquel Urtasun, Sanja Fidler:
MovieQA: Understanding Stories in Movies through Question-Answering. CVPR 2016: 4631-4640 - [i6]Xiaozhi Chen, Kaustav Kundu, Yukun Zhu, Huimin Ma, Sanja Fidler, Raquel Urtasun:
3D Object Proposals using Stereo Imagery for Accurate Object Class Detection. CoRR abs/1608.07711 (2016) - [i5]Michael Figurnov, Maxwell D. Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry P. Vetrov, Ruslan Salakhutdinov:
Spatially Adaptive Computation Time for Residual Networks. CoRR abs/1612.02297 (2016) - 2015
- [c9]Yuncheng Li, Yukun Zhu, Rui Zhang, Jun Zhou:
Shape detector for generic ball detection. BMSB 2015: 1-5 - [c8]Yukun Zhu, Raquel Urtasun, Ruslan Salakhutdinov, Sanja Fidler:
segDeepM: Exploiting segmentation and context in deep neural networks for object detection. CVPR 2015: 4703-4711 - [c7]Yukun Zhu, Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, Sanja Fidler:
Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books. ICCV 2015: 19-27 - [c6]Xiaozhi Chen, Kaustav Kundu, Yukun Zhu, Andrew G. Berneshawi, Huimin Ma, Sanja Fidler, Raquel Urtasun:
3D Object Proposals for Accurate Object Class Detection. NIPS 2015: 424-432 - [c5]Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard S. Zemel, Raquel Urtasun, Antonio Torralba, Sanja Fidler:
Skip-Thought Vectors. NIPS 2015: 3294-3302 - [i4]Yukun Zhu, Raquel Urtasun, Ruslan Salakhutdinov, Sanja Fidler:
segDeepM: Exploiting Segmentation and Context in Deep Neural Networks for Object Detection. CoRR abs/1502.04275 (2015) - [i3]Yukun Zhu, Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, Sanja Fidler:
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books. CoRR abs/1506.06724 (2015) - [i2]Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard S. Zemel, Antonio Torralba, Raquel Urtasun, Sanja Fidler:
Skip-Thought Vectors. CoRR abs/1506.06726 (2015) - [i1]Makarand Tapaswi, Yukun Zhu, Rainer Stiefelhagen, Antonio Torralba, Raquel Urtasun, Sanja Fidler:
MovieQA: Understanding Stories in Movies through Question-Answering. CoRR abs/1512.02902 (2015) - 2014
- [j1]Yukun Zhu, Jun Zhu, Rui Zhang:
Contextual Object Detection With Spatial Context Prototypes. IEEE Trans. Multim. 16(6): 1585-1596 (2014) - 2013
- [c4]Yukun Zhu, Jun Zhu, Rui Zhang:
A spindle model for contextual object detection. ICIP 2013: 2645-2649 - [c3]Yukun Zhu, Jun Zhu, Rui Zhang:
Discovering spatial context prototypes for object detection. ICME 2013: 1-6 - 2012
- [c2]Yukun Zhu, Jun Zhu, Rui Zhang:
An Efficient Isolation Method for Contextual Object Detection. IFTC 2012: 205-211 - 2011
- [c1]Rongchang Yuan, Haigan Yuan, Si Chen, Longqing Sun, Feng Qin, Han Zhang, Yukun Zhu, Daokun Ma:
Research on the k-Coverage Local Wireless Network and Its Communication Coordination Mechanism Design. CCTA (1) 2011: 390-401
Coauthor Index
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