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Longlong Jing
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2020 – today
- 2024
- [j5]Elahe Vahdani, Longlong Jing, Matt Huenerfauth, Yingli Tian:
Multi-Modal Multi-Channel American Sign Language Recognition. Int. J. Artif. Intell. Robotics Res. 1(1): 2450001:1-2450001:25 (2024) - [c16]Longlong Jing, Ruichi Yu, Xu Chen, Zhengli Zhao, Shiwei Sheng, Colin Graber, Qi Chen, Qinru Li, Shangxuan Wu, Han Deng, Sangjin Lee, Chris Sweeney, Qiurui He, Wei-Chih Hung, Tong He, Xingyi Zhou, Farshid Moussavi, James Guo, Yin Zhou, Mingxing Tan, Weilong Yang, Congcong Li:
STT: Stateful Tracking with Transformers for Autonomous Driving. ICRA 2024: 4442-4449 - [i21]Zihao Xiao, Longlong Jing, Shangxuan Wu, Alex Zihao Zhu, Jingwei Ji, Chiyu Max Jiang, Wei-Chih Hung, Thomas A. Funkhouser, Weicheng Kuo, Anelia Angelova, Yin Zhou, Shiwei Sheng:
3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation. CoRR abs/2401.02402 (2024) - [i20]Longlong Jing, Ruichi Yu, Xu Chen, Zhengli Zhao, Shiwei Sheng, Colin Graber, Qi Chen, Qinru Li, Shangxuan Wu, Han Deng, Sangjin Lee, Chris Sweeney, Qiurui He, Wei-Chih Hung, Tong He, Xingyi Zhou, Farshid Moussavi, Zijian Guo, Yin Zhou, Mingxing Tan, Weilong Yang, Congcong Li:
STT: Stateful Tracking with Transformers for Autonomous Driving. CoRR abs/2405.00236 (2024) - 2023
- [c15]Zhimin Chen, Longlong Jing, Yingwei Li, Bing Li:
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models. NeurIPS 2023 - [c14]Zhimin Chen, Longlong Jing, Liang Yang, Yingwei Li, Bing Li:
Class-Level Confidence Based 3D Semi-Supervised Learning. WACV 2023: 633-642 - [i19]Zhimin Chen, Yingwei Li, Longlong Jing, Liang Yang, Bing Li:
Point Cloud Self-supervised Learning via 3D to Multi-view Masked Autoencoder. CoRR abs/2311.10887 (2023) - 2022
- [c13]Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan L. Yuille, Yingwei Li:
Learning from Temporal Gradient for Semi-supervised Action Recognition. CVPR 2022: 3242-3252 - [c12]Ziyue Feng, Liang Yang, Longlong Jing, Haiyan Wang, Yingli Tian, Bing Li:
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth. ECCV (32) 2022: 228-244 - [c11]Yingwei Li, Tiffany Chen, Maya Kabkab, Ruichi Yu, Longlong Jing, Yurong You, Hang Zhao:
R4D: Utilizing Reference Objects for Long-Range Distance Estimation. ICLR 2022 - [c10]Longlong Jing, Ruichi Yu, Henrik Kretzschmar, Kang Li, Charles R. Qi, Hang Zhao, Alper Ayvaci, Xu Chen, Dillon Cower, Yingwei Li, Yurong You, Han Deng, Congcong Li, Dragomir Anguelov:
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking. ICRA 2022: 366-373 - [i18]Ziyue Feng, Liang Yang, Longlong Jing, Haiyan Wang, Yingli Tian, Bing Li:
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth. CoRR abs/2203.15174 (2022) - [i17]Longlong Jing, Ruichi Yu, Henrik Kretzschmar, Kang Li, Charles R. Qi, Hang Zhao, Alper Ayvaci, Xu Chen, Dillon Cower, Yingwei Li, Yurong You, Han Deng, Congcong Li, Dragomir Anguelov:
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking. CoRR abs/2206.03666 (2022) - [i16]Yingwei Li, Tiffany Chen, Maya Kabkab, Ruichi Yu, Longlong Jing, Yurong You, Hang Zhao:
R4D: Utilizing Reference Objects for Long-Range Distance Estimation. CoRR abs/2206.04831 (2022) - [i15]Zhimin Chen, Longlong Jing, Liang Yang, Yingwei Li, Bing Li:
Class-Level Confidence Based 3D Semi-Supervised Learning. CoRR abs/2210.10138 (2022) - [i14]Siwei Yang, Longlong Jing, Junfei Xiao, Hang Zhao, Alan L. Yuille, Yingwei Li:
AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation. CoRR abs/2212.03517 (2022) - 2021
- [b1]Longlong Jing:
Learning Deep Visual Features from Limited Labeled Data. City University of New York, USA, 2021 - [j4]Jiaxing Tan, Longlong Jing, Yumei Huo, Lihong Li, Oguz Akin, Yingli Tian:
LGAN: Lung segmentation in CT scans using generative adversarial network. Comput. Medical Imaging Graph. 87: 101817 (2021) - [j3]Longlong Jing, Yingli Tian:
Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 4037-4058 (2021) - [c9]Zhimin Chen, Longlong Jing, Yang Liang, Yingli Tian, Bing Li:
Multimodal Semi-Supervised Learning for 3D Objects. BMVC 2021: 381 - [c8]Ziyue Feng, Longlong Jing, Peng Yin, Yingli Tian, Bing Li:
Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR. CoRL 2021: 685-694 - [c7]Longlong Jing, Ling Zhang, Yingli Tian:
Self-Supervised Feature Learning by Cross-Modality and Cross-View Correspondences. CVPR Workshops 2021: 1581-1591 - [c6]Longlong Jing, Elahe Vahdani, Jiaxing Tan, Yingli Tian:
Cross-Modal Center Loss for 3D Cross-Modal Retrieval. CVPR 2021: 3142-3151 - [c5]Longlong Jing, Toufiq Parag, Zhe Wu, Yingli Tian, Hongcheng Wang:
VideoSSL: Semi-Supervised Learning for Video Classification. WACV 2021: 1109-1118 - [i13]Ziyue Feng, Longlong Jing, Peng Yin, Yingli Tian, Bing Li:
Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR. CoRR abs/2109.09628 (2021) - [i12]Zhimin Chen, Longlong Jing, Yang Liang, Yingli Tian, Bing Li:
Multimodal Semi-Supervised Learning for 3D Objects. CoRR abs/2110.11601 (2021) - [i11]Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan L. Yuille, Yingwei Li:
Learning from Temporal Gradient for Semi-supervised Action Recognition. CoRR abs/2111.13241 (2021) - 2020
- [j2]Longlong Jing, Yucheng Chen, Yingli Tian:
Coarse-to-Fine Semantic Segmentation From Image-Level Labels. IEEE Trans. Image Process. 29: 225-236 (2020) - [c4]Benjamin Reichman, Longlong Jing, Oguz Akin, Yingli Tian:
Medical Image Tampering Detection: A New Dataset and Baseline. ICPR Workshops (1) 2020: 266-277 - [c3]Elahe Vahdani, Longlong Jing, Yingli Tian, Matt Huenerfauth:
Recognizing American Sign Language Nonmanual Signal Grammar Errors in Continuous Videos. ICPR 2020: 6043-6050 - [i10]Longlong Jing, Toufiq Parag, Zhe Wu, Yingli Tian, Hongcheng Wang:
VideoSSL: Semi-Supervised Learning for Video Classification. CoRR abs/2003.00197 (2020) - [i9]Longlong Jing, Yucheng Chen, Ling Zhang, Mingyi He, Yingli Tian:
Self-supervised Feature Learning by Cross-modality and Cross-view Correspondences. CoRR abs/2004.05749 (2020) - [i8]Elahe Vahdani, Longlong Jing, Yingli Tian, Matt Huenerfauth:
Recognizing American Sign Language Nonmanual Signal Grammar Errors in Continuous Videos. CoRR abs/2005.00253 (2020) - [i7]Longlong Jing, Yucheng Chen, Ling Zhang, Mingyi He, Yingli Tian:
Self-supervised Modal and View Invariant Feature Learning. CoRR abs/2005.14169 (2020) - [i6]Longlong Jing, Elahe Vahdani, Jiaxing Tan, Yingli Tian:
Cross-modal Center Loss. CoRR abs/2008.03561 (2020)
2010 – 2019
- 2019
- [c2]Yucheng Chen, Longlong Jing, Elahe Vahdani, Ling Zhang, Mingyi He, Yingli Tian:
Multi-camera Vehicle Tracking and Re-identification on AI City Challenge 2019. CVPR Workshops 2019: 324-332 - [i5]Jiaxing Tan, Longlong Jing, Yumei Huo, Yingli Tian, Oguz Akin:
LGAN: Lung Segmentation in CT Scans Using Generative Adversarial Network. CoRR abs/1901.03473 (2019) - [i4]Longlong Jing, Yingli Tian:
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey. CoRR abs/1902.06162 (2019) - [i3]Longlong Jing, Elahe Vahdani, Matt Huenerfauth, Yingli Tian:
Recognizing American Sign Language Manual Signs from RGB-D Videos. CoRR abs/1906.02851 (2019) - 2018
- [j1]Longlong Jing, Xiaodong Yang, Yingli Tian:
Video you only look once: Overall temporal convolutions for action recognition. J. Vis. Commun. Image Represent. 52: 58-65 (2018) - [i2]Longlong Jing, Yingli Tian:
Self-supervised Spatiotemporal Feature Learning by Video Geometric Transformations. CoRR abs/1811.11387 (2018) - [i1]Longlong Jing, Yucheng Chen, Yingli Tian:
Coarse-to-fine Semantic Segmentation from Image-level Labels. CoRR abs/1812.10885 (2018) - 2017
- [c1]Longlong Jing, Yuancheng Ye, Xiaodong Yang, Yingli Tian:
3D convolutional neural network with multi-model framework for action recognition. ICIP 2017: 1837-1841
Coauthor Index
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