Weicheng Kuo

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 41

Top Topics

Object Detection

Question Answering

Top Venues

Publications

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 (2024)
Shijie Wang, Dahun Kim, Ali Taalimi, Chen Sun, Weicheng Kuo
Learning Visual Grounding from Generative Vision and Language Model. CoRR (2024)
Dahun Kim, Anelia Angelova, Weicheng Kuo
Detection-Oriented Image-Text Pretraining for Open-Vocabulary Detection. CoRR (2023)
Runze Li, Dahun Kim, Bir Bhanu, Weicheng Kuo
RECLIP: Resource-efficient CLIP by Training with Small Images. CoRR (2023)
A. J. Piergiovanni, Weicheng Kuo, Anelia Angelova
Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning. CVPR (2023)
Dahun Kim, Anelia Angelova, Weicheng Kuo
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers. CVPR (2023)
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
MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks. Trans. Mach. Learn. Res. 2023 (2023)
Weicheng Kuo, AJ Piergiovanni, Dahun Kim, Xiyang Luo, Benjamin Caine, Wei Li, Abhijit S. Ogale, Luowei Zhou, Andrew M. Dai, Zhifeng Chen, Claire Cui, Anelia Angelova
MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks. CoRR (2023)
Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model. NeurIPS (2023)
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
PaLI: A Jointly-Scaled Multilingual Language-Image Model. ICLR (2023)
Dahun Kim, Anelia Angelova, Weicheng Kuo
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers. CoRR (2023)
Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model. CoRR (2023)
Dahun Kim, Anelia Angelova, Weicheng Kuo
Contrastive Feature Masking Open-Vocabulary Vision Transformer. CoRR (2023)
Dahun Kim, Anelia Angelova, Weicheng Kuo
Contrastive Feature Masking Open-Vocabulary Vision Transformer. ICCV (2023)
Runze Li, Dahun Kim, Bir Bhanu, Weicheng Kuo
RECLIP: Resource-efficient CLIP by Training with Small Images. Trans. Mach. Learn. Res. 2023 (2023)
Weicheng Kuo, Yin Cui, Xiuye Gu, A. J. Piergiovanni, Anelia Angelova
Open-Vocabulary Object Detection upon Frozen Vision and Language Models. ICLR (2023)
A. J. Piergiovanni, Wei Li, Weicheng Kuo, Mohammad Saffar, Fred Bertsch, Anelia Angelova
Answer-Me: Multi-Task Open-Vocabulary Visual Question Answering. CoRR (2022)
Weicheng Kuo, Fred Bertsch, Wei Li, A. J. Piergiovanni, Mohammad Saffar, Anelia Angelova
FindIt: Generalized Localization with Natural Language Queries. CoRR (2022)
A. J. Piergiovanni, Weicheng Kuo, Anelia Angelova
Pre-training image-language transformers for open-vocabulary tasks. CoRR (2022)
Weicheng Kuo, Yin Cui, Xiuye Gu, A. J. Piergiovanni, Anelia Angelova
F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models. CoRR (2022)
A. J. Piergiovanni, Kairo Morton, Weicheng Kuo, Michael S. Ryoo, Anelia Angelova
Video Question Answering with Iterative Video-Text Co-tokenization. ECCV (36) (2022)
Weicheng Kuo, Fred Bertsch, Wei Li, A. J. Piergiovanni, Mohammad Saffar, Anelia Angelova
FindIt: Generalized Localization with Natural Language Queries. ECCV (36) (2022)
Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo, Yin Cui
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation. ICLR (2022)
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 Thapliyal, James Bradbury, Weicheng Kuo, Mojtaba Seyedhosseini, Chao Jia, Burcu Karagol Ayan, Carlos Riquelme, Andreas Steiner, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut
PaLI: A Jointly-Scaled Multilingual Language-Image Model. CoRR (2022)
AJ Piergiovanni, Weicheng Kuo, Anelia Angelova
Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning. CoRR (2022)
Dahun Kim, Tsung-Yi Lin, Anelia Angelova, In So Kweon, Weicheng Kuo
Learning Open-World Object Proposals Without Learning to Classify. IEEE Robotics Autom. Lett. 7 (2) (2022)
A. J. Piergiovanni, Kairo Morton, Weicheng Kuo, Michael S. Ryoo, Anelia Angelova
Video Question Answering with Iterative Video-Text Co-Tokenization. CoRR (2022)
Dahun Kim, Tsung-Yi Lin, Anelia Angelova, In So Kweon, Weicheng Kuo
Learning Open-World Object Proposals without Learning to Classify. CoRR (2021)
Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image. CoRR (2021)
Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo, Yin Cui
Zero-Shot Detection via Vision and Language Knowledge Distillation. CoRR (2021)
Emily Lin, Weicheng Kuo, Esther L. Yuh
Noisy Student learning for cross-institution brain hemorrhage detection. CoRR (2021)
Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image. ICCV (2021)
Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve. CoRR (2020)
Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve. ECCV (3) (2020)
Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors. ICCV (2019)
Weicheng Kuo, Anelia Angelova, Jitendra Malik, Tsung-Yi Lin
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors. CoRR (2019)
Weicheng Kuo, Christian Häne, Esther L. Yuh, Pratik Mukherjee, Jitendra Malik
Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection. MICCAI (3) (2018)
Weicheng Kuo, Christian Häne, Esther L. Yuh, Pratik Mukherjee, Jitendra Malik
PatchFCN for Intracranial Hemorrhage Detection. CoRR (2018)
Weicheng Kuo, Christian Häne, Esther L. Yuh, Pratik Mukherjee, Jitendra Malik
Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection. CoRR (2018)
David F. Fouhey, Weicheng Kuo, Alexei A. Efros, Jitendra Malik
From Lifestyle Vlogs to Everyday Interactions. CVPR (2018)
David F. Fouhey, Weicheng Kuo, Alexei A. Efros, Jitendra Malik
From Lifestyle Vlogs to Everyday Interactions. CoRR (2017)
Weicheng Kuo, Bharath Hariharan, Jitendra Malik
DeepBox: Learning Objectness with Convolutional Networks. CoRR (2015)
Weicheng Kuo, Bharath Hariharan, Jitendra Malik
DeepBox: Learning Objectness with Convolutional Networks. ICCV (2015)