Xin Wang

Affiliations:

Microsoft Research, Redmond, WA, USA
University of California, Berkeley, Department of Electrical Engineering and Computer Sciences, Berkeley, CA, USA (PhD 2020)

According to our database¹, Xin Wang authored at least 34 papers between 2017 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

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Other

Bibliography

2023

Textbooks Are All You Need.

[BibT_eX]

[DOI]

Suriya Gunasekar

Yi Zhang

Jyoti Aneja

Caio César Teodoro Mendes

CoRR, 2023

Controllable Text-to-Image Generation with GPT-4.

[BibT_eX]

[DOI]

CoRR, 2023

Refocusing Is Key to Transfer Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Gorilla: Large Language Model Connected with Massive APIs.

[BibT_eX]

[DOI]

CoRR, 2023

Scaling Novel Object Detection with Weakly Supervised Detection Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Understanding Zero-shot Adversarial Robustness for Large-Scale Models.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Top-Down Visual Attention from Analysis by Synthesis.

[BibT_eX]

[DOI]

Baifeng Shi

Trevor Darrell

Xin Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Doubly Right Object Recognition: A Why Prompt for Visual Rationales.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Visual Attention Emerges from Recurrent Sparse Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Context-Aware Streaming Perception in Dynamic Environments.

[BibT_eX]

[DOI]

Gur-Eyal Sela

Ionel Gog

Justin Wong

Kumar Krishna Agrawal

Proceedings of the Computer Vision - ECCV 2022, 2022

Neural-Sim: Learning to Generate Training Data with NeRF.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Robust Contrastive Learning against Noisy Views.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DETReg: Unsupervised Pretraining with Region Priors for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty.

[BibT_eX]

[DOI]

Charles Packer

Nicholas Rhinehart

Rowan Thomas McAllister

Proceedings of the Conference on Robot Learning, 2022

2021

Instance-Aware Predictive Navigation in Multi-Agent Environments.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Wanderlust: Online Continual Object Detection in the Real World.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Robust Object Detection via Instance-Level Temporal Cycle Confusion.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Frustratingly Simple Few-Shot Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning Saliency Propagation for Semi-Supervised Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Domain-Aware Dynamic Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Task-Aware Deep Sampling for Feature Generation.

[BibT_eX]

[DOI]

CoRR, 2019

Deep Mixture of Experts via Shallow Embedding.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

ACE: Adapting to Changing Environments for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Few-Shot Object Detection via Feature Reweighting.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video.

[BibT_eX]

[DOI]

Samvit Jain

Xin Wang

Joseph E. Gonzalez

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Deep Mixture of Experts via Shallow Embedding.

[BibT_eX]

[DOI]

CoRR, 2018

IDK Cascades: Fast Deep Learning by Learning not to Overthink.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

SkipNet: Learning Dynamic Routing in Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

SkipNet: Learning Dynamic Routing in Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2017

IDK Cascades: Fast Deep Learning by Learning not to Overthink.

[BibT_eX]

[DOI]

CoRR, 2017

Clipper: A Low-Latency Online Prediction Serving System.

[BibT_eX]

[DOI]

Proceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation, 2017

Xin Wang

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