Publications
Visual Attention Emerges from Recurrent Sparse Reconstruction
Visual Attention Emerges from Recurrent Sparse Reconstruction
Baifeng Shi, Yale Song, Neel Joshi, Trevor Darrell, Xin Wang
International Conference on Machine Learning (ICML), 2022.
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
Amir Bar, Xin Wang, Vadim Kantorov, Colorado J Reed, Roei Herzig, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson
Computer Vision and Pattern Recognition (CVPR), 2022.
Robust Contrastive Learning against Noisy Views
Robust Contrastive Learning against Noisy Views
Ching-Yao Chuang, R Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Anotonio Torralba, Stefanie Jeglka, Yale Song
Computer Vision and Pattern Recognition (CVPR), 2022.
Unknown-Aware Object Detection: Learning What You Don’t Know from Videos in the Wild
Unknown-Aware Object Detection: Learning What You Don’t Know from Videos in the Wild
Xuefeng Du, Xin Wang, Gabriel Gozum, Yixuan Li
Computer Vision and Pattern Recognition (CVPR), 2022.
Robust Object Detection via Instance-Level Temporal Cycle Confusion
Robust Object Detection via Instance-Level Temporal Cycle Confusion
Xin Wang, Thomas E. Huang*, Benlin Liu*, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell
International Conference in Computer Vision (ICCV), 2021.
Wanderlust: Online Continual Object Detection in the Real World
Wanderlust: Online Continual Object Detection in the Real World
Jianren Wang, Xin Wang, Yue Shang-Guan, Abhinav Gupta
International Conference in Computer Vision (ICCV), 2021.
Instance-Aware Predictive Navigation in Multi-Agent Environments
Instance-Aware Predictive Navigation in Multi-Agent Environments
Jinkun Cao, Xin Wang, Trevor Darrell, Fisher Yu
International Conference on Robotics and Automation (ICRA), 2021.
Frustratingly Simple Few-Shot Object Detection
Frustratingly Simple Few-Shot Object Detection
Xin Wang*, Thomas E. Huang*, Trevor Darrell, Joseph E. Gonzalez, Fisher Yu
International Conference on Machine Learning (ICML), 2020.
Task-Aware Feature Generation for Zero-Shot Compositional Learning
Task-Aware Feature Generation for Zero-Shot Compositional Learning
Xin Wang, Fisher Yu, Trevor Darrell, Joseph E. Gonzalez
arXiv 2019.
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, Trevor Darrell
Computer Vision and Pattern Recognition (CVPR), 2020, Oral.
Learning Saliency Propagation for Semi-Supervised Instance Segmentation
Learning Saliency Propagation for Semi-Supervised Instance Segmentation
Yanzhao Zhou, Xin Wang, Jianbin Jiao, Trevor Darrell, Fisher Yu
Computer Vision and Pattern Recognition (CVPR), 2020.
ACE: Adapting to Changing Environments for Semantic Segmentation
ACE: Adapting to Changing Environments for Semantic Segmentation
Zuxuan Wu, Xin Wang, Joseph E. Gonzalez, Tom Goldstein, Larry S. Davis
International Conference in Computer Vision (ICCV) 2019.
Few-shot Object Detection via Feature Reweighting
Few-shot Object Detection via Feature Reweighting
Bingyi Kang*, Zhuang Liu*, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell
International Conference in Computer Vision (ICCV) 2019.
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez
Conference on Computer Vision and Pattern Recognition (CVPR) 2019.
Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video
Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video
Samvit Jain, Xin Wang, Joseph E. Gonzalez
Conference on Computer Vision and Pattern Recognition (CVPR) 2019.
Deep Mixture of Experts via Shallow Embedding
Deep Mixture of Experts via Shallow Embedding
Xin Wang, Fisher Yu, Lisa Dunlap, Yi-An Ma, Ruth Wang, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez
Conference on Uncertainty in Artificial Intelligence (UAI) 2019.
SkipNet: Learning Dynamic Routing in Convolutional Networks
SkipNet: Learning Dynamic Routing in Convolutional Networks
Xin Wang, Fisher Yu, Zi-Yi Dou, Trevor Darrell, Joseph E. Gonzalez
European Conference on Computer Vision (ECCV) 2018.
IDK Cascades: Fast Deep Learning by Learning not to Overthink
IDK Cascades: Fast Deep Learning by Learning not to Overthink
Xin Wang, Yujia Luo, Daniel Crankshaw, Alexey Tumanov, Fisher Yu, Joseph E. Gonzalez
Conference on Uncertainty in Artificial Intelligence (UAI) 2018.
Clipper: A Low-Latency Online Prediction Serving System
Clipper: A Low-Latency Online Prediction Serving System
Daniel Crankshaw, Xin Wang, Guilio Zhou, Michael J. Franklin, Joseph E. Gonzalez, Ion Stoica
USENIX Symposium on Networked Systems Design and Implementation (NSDI) 2017.
Scalable Training and Serving of Personalized Models
Scalable Training and Serving of Personalized Models
Daniel Crankshaw, Xin Wang, Joseph E. Gonzalez, Michael J. Franklin
LearningSys 2015.