Weicheng Kuo

According to our database, Weicheng Kuo authored at least 27 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation.

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

CoRR, 2024

2023

Detection-Oriented Image-Text Pretraining for Open-Vocabulary Detection.

Dahun Kim, Anelia Angelova, Weicheng Kuo

CoRR, 2023

RECLIP: Resource-efficient CLIP by Training with Small Images.

Runze Li, Dahun Kim, Bir Bhanu, Weicheng Kuo

CoRR, 2023

MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks.

Weicheng Kuo, A. J. Piergiovanni, Dahun Kim, Xiyang Luo, Benjamin Caine, Wei Li, Abhijit S. Ogale, Luowei Zhou, Andrew M. Dai, Zhifeng Chen, Claire Cui, Anelia Angelova

CoRR, 2023

DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model.

Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Open-Vocabulary Object Detection upon Frozen Vision and Language Models.

Weicheng Kuo, Yin Cui, Xiuye Gu, A. J. Piergiovanni, Anelia Angelova

Proceedings of the Eleventh International Conference on Learning Representations, 2023

PaLI: A Jointly-Scaled Multilingual Language-Image Model.

Xi Chen, Xiao Wang, Soravit Changpinyo, A. J. Piergiovanni, Piotr Padlewski, Daniel Salz, Sebastian Goodman, Adam Grycner, Basil Mustafa, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Nan Ding, Keran Rong, Hassan Akbari, Gaurav Mishra, Linting Xue, Ashish V. Thapliyal, James Bradbury, Weicheng Kuo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Contrastive Feature Masking Open-Vocabulary Vision Transformer.

Dahun Kim, Anelia Angelova, Weicheng Kuo

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

Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning.

A. J. Piergiovanni, Weicheng Kuo, Anelia Angelova

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

Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers.

Dahun Kim, Anelia Angelova, Weicheng Kuo

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

2022

Learning Open-World Object Proposals Without Learning to Classify.

Dahun Kim, Tsung-Yi Lin, Anelia Angelova, In So Kweon, Weicheng Kuo

IEEE Robotics Autom. Lett., 2022

F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models.

Weicheng Kuo, Yin Cui, Xiuye Gu, A. J. Piergiovanni, Anelia Angelova

CoRR, 2022

PaLI: A Jointly-Scaled Multilingual Language-Image Model.

Xi Chen, Xiao Wang, Soravit Changpinyo, A. J. Piergiovanni, Piotr Padlewski, Daniel Salz, Sebastian Goodman, Adam Grycner, Basil Mustafa, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Nan Ding, Keran Rong, Hassan Akbari, Gaurav Mishra, Linting Xue, Ashish V. Thapliyal, James Bradbury, Weicheng Kuo, Mojtaba Seyedhosseini, Chao Jia, Burcu Karagol Ayan, Carlos Riquelme, Andreas Steiner, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut

CoRR, 2022

Pre-training image-language transformers for open-vocabulary tasks.

A. J. Piergiovanni, Weicheng Kuo, Anelia Angelova

CoRR, 2022

Answer-Me: Multi-Task Open-Vocabulary Visual Question Answering.

A. J. Piergiovanni, Wei Li, Weicheng Kuo, Mohammad Saffar, Fred Bertsch, Anelia Angelova

CoRR, 2022

Open-vocabulary Object Detection via Vision and Language Knowledge Distillation.

Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo, Yin Cui

Proceedings of the Tenth International Conference on Learning Representations, 2022

Video Question Answering with Iterative Video-Text Co-tokenization.

A. J. Piergiovanni, Kairo Morton, Weicheng Kuo, Michael S. Ryoo, Anelia Angelova

Proceedings of the Computer Vision - ECCV 2022, 2022

FindIt: Generalized Localization with Natural Language Queries.

Weicheng Kuo, Fred Bertsch, Wei Li, A. J. Piergiovanni, Mohammad Saffar, Anelia Angelova

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Noisy Student learning for cross-institution brain hemorrhage detection.

Emily Lin, Weicheng Kuo, Esther L. Yuh

CoRR, 2021

Zero-Shot Detection via Vision and Language Knowledge Distillation.

Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo, Yin Cui

CoRR, 2021

Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image.

Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai

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

2020

Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve.

Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors.

Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin

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

2018

PatchFCN for Intracranial Hemorrhage Detection.

Weicheng Kuo, Christian Häne, Esther L. Yuh, Pratik Mukherjee, Jitendra Malik

CoRR, 2018

Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection.

Weicheng Kuo, Christian Häne, Esther L. Yuh, Pratik Mukherjee, Jitendra Malik

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

From Lifestyle Vlogs to Everyday Interactions.

David F. Fouhey, Weicheng Kuo, Alexei A. Efros, Jitendra Malik

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2015

DeepBox: Learning Objectness with Convolutional Networks.

Weicheng Kuo, Bharath Hariharan, Jitendra Malik

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015