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2020 – today
- 2024
[c14]Junjiao Tian, Lavisha Aggarwal, Andrea Colaco, Zsolt Kira, Mar González-Franco:
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion. CVPR 2024: 3554-3563- 2023
- [c13]James Seale Smith, Junjiao Tian, Shaunak Halbe, Yen-Chang Hsu, Zsolt Kira:
A Closer Look at Rehearsal-Free Continual Learning. CVPR Workshops 2023: 2410-2420 - [c12]Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Zsolt Kira:
Trainable Projected Gradient Method for Robust Fine-Tuning. CVPR 2023: 7836-7845 - [c11]Junjiao Tian, Yen-Cheng Liu, James Seale Smith, Zsolt Kira:
Fast Trainable Projection for Robust Fine-tuning. NeurIPS 2023 - [i18]Junjiao Tian, Xiaoliang Dai, Chih-Yao Ma, Zecheng He, Yen-Cheng Liu, Zsolt Kira:
Trainable Projected Gradient Method for Robust Fine-tuning. CoRR abs/2303.10720 (2023) - [i17]Shaunak Halbe, James Seale Smith, Junjiao Tian, Zsolt Kira:
HePCo: Data-Free Heterogeneous Prompt Consolidation for Continual Federated Learning. CoRR abs/2306.09970 (2023) - [i16]Junjiao Tian, Lavisha Aggarwal, Andrea Colaco, Zsolt Kira, Mar González-Franco:
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion. CoRR abs/2308.12469 (2023) - [i15]Junjiao Tian, Yen-Cheng Liu, James Seale Smith, Zsolt Kira:
Fast Trainable Projection for Robust Fine-Tuning. CoRR abs/2310.19182 (2023) - 2022
- [j1]Thomas M. Howard
, Ethan Stump, Jonathan Fink, Jacob Arkin, Rohan Paul, Daehyung Park, Subhro Roy, Daniel Barber, Rhyse Bendell, Karl Schmeckpeper, Junjiao Tian, Jean Oh, Maggie B. Wigness, Long Quang, Brandon Rothrock, Jeremy Nash, Matthew R. Walter, Florian Jentsch, Nicholas Roy:
An Intelligence Architecture for Grounded Language Communication with Field Robots. Field Robotics 2(1): 468-512 (2022) - [c10]Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira:
Open-Set Semi-Supervised Object Detection. ECCV (30) 2022: 143-159 - [c9]Junjiao Tian, Niluthpol Chowdhury Mithun, Zachary Seymour, Han-Pang Chiu, Zsolt Kira:
Striking the Right Balance: Recall Loss for Semantic Segmentation. ICRA 2022: 5063-5069 - [c8]Yen-Cheng Liu, Chih-Yao Ma, Junjiao Tian, Zijian He, Zsolt Kira:
Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks. NeurIPS 2022 - [i14]James Seale Smith, Junjiao Tian, Yen-Chang Hsu, Zsolt Kira:
A Closer Look at Rehearsal-Free Continual Learning. CoRR abs/2203.17269 (2022) - [i13]Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira:
Open-Set Semi-Supervised Object Detection. CoRR abs/2208.13722 (2022) - [i12]Junjiao Tian, James Seale Smith, Zsolt Kira:
FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization. CoRR abs/2209.10537 (2022) - [i11]Yen-Cheng Liu, Chih-Yao Ma, Junjiao Tian, Zijian He, Zsolt Kira:
Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks. CoRR abs/2210.03265 (2022) - 2021
- [c7]Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira:
Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking. IROS 2021: 2406-2413 - [c6]Junjiao Tian, Dylan Yung, Yen-Chang Hsu, Zsolt Kira:
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition. NeurIPS 2021: 26358-26369 - [i10]Junjiao Tian, Niluthpol Chowdhury Mithun, Zachary Seymour, Han-Pang Chiu, Zsolt Kira:
Striking the Right Balance: Recall Loss for Semantic Segmentation. CoRR abs/2106.14917 (2021) - [i9]Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira:
Enhancing Multi-Robot Perception via Learned Data Association. CoRR abs/2107.00769 (2021) - [i8]Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira:
Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking. CoRR abs/2107.00771 (2021) - [i7]Junjiao Tian, Dylan Yung, Yen-Chang Hsu, Zsolt Kira:
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition. CoRR abs/2110.14577 (2021) - [i6]Junjiao Tian, Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira:
Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data. CoRR abs/2110.15231 (2021) - 2020
- [c5]Yen-Cheng Liu, Junjiao Tian, Nathaniel Glaser, Zsolt Kira:
When2com: Multi-Agent Perception via Communication Graph Grouping. CVPR 2020: 4105-4114 - [c4]Junjiao Tian, Wesley Cheung, Nathaniel Glaser, Yen-Cheng Liu, Zsolt Kira:
UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation. ICRA 2020: 5716-5723 - [c3]Yen-Cheng Liu, Junjiao Tian, Chih-Yao Ma, Nathan Glaser, Chia-Wen Kuo, Zsolt Kira:
Who2com: Collaborative Perception via Learnable Handshake Communication. ICRA 2020: 6876-6883 - [c2]Junjiao Tian, Yen-Cheng Liu, Nathaniel Glaser, Yen-Chang Hsu, Zsolt Kira:
Posterior Re-calibration for Imbalanced Datasets. NeurIPS 2020 - [i5]Yen-Cheng Liu, Junjiao Tian, Chih-Yao Ma, Nathan Glaser, Chia-Wen Kuo, Zsolt Kira:
Who2com: Collaborative Perception via Learnable Handshake Communication. CoRR abs/2003.09575 (2020) - [i4]Yen-Cheng Liu, Junjiao Tian, Nathaniel Glaser, Zsolt Kira:
When2com: Multi-Agent Perception via Communication Graph Grouping. CoRR abs/2006.00176 (2020) - [i3]Junjiao Tian, Jean Oh:
Image Captioning with Compositional Neural Module Networks. CoRR abs/2007.05608 (2020) - [i2]Junjiao Tian, Yen-Cheng Liu, Nathan Glaser, Yen-Chang Hsu, Zsolt Kira:
Posterior Re-calibration for Imbalanced Datasets. CoRR abs/2010.11820 (2020)
2010 – 2019
- 2019
- [c1]Junjiao Tian, Jean Oh:
Image Captioning with Compositional Neural Module Networks. IJCAI 2019: 3576-3584 - [i1]Junjiao Tian, Wesley Cheung, Nathan Glaser, Yen-Cheng Liu, Zsolt Kira:
UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation. CoRR abs/1911.05611 (2019)
Coauthor Index
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