Shih-Fu Chang

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 275

Top Venues

Publications

Haoxuan You, Haotian Zhang, Zhe Gan, Xianzhi Du, Bowen Zhang, Zirui Wang, Liangliang Cao, Shih-Fu Chang, Yinfei Yang
Ferret: Refer and Ground Anything Anywhere at Any Granularity. ICLR (2024)
Hammad A. Ayyubi, Christopher Thomas, Lovish Chum, Rahul Lokesh, Long Chen, Yulei Niu, Xudong Lin, Xuande Feng, Jaywon Koo, Sounak Ray, Shih-Fu Chang
Beyond Grounding: Extracting Fine-Grained Event Hierarchies across Modalities. AAAI (2024)
Kung-Hsiang Huang, Hou Pong Chan, Yi Ren Fung, Haoyi Qiu, Mingyang Zhou, Shafiq Joty, Shih-Fu Chang, Heng Ji
From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models. CoRR (2024)
Junzhang Liu, Zhecan Wang, Hammad A. Ayyubi, Haoxuan You, Christopher Thomas, Rui Sun, Shih-Fu Chang, Kai-Wei Chang
Detecting Multimodal Situations with Insufficient Context and Abstaining from Baseless Predictions. CoRR (2024)
Jiawei Ma, Po-Yao Huang, Saining Xie, Shang-Wen Li, Luke Zettlemoyer, Shih-Fu Chang, Wen-Tau Yih, Hu Xu
MoDE: CLIP Data Experts via Clustering. CoRR (2024)
Jiawei Ma, Yulei Niu, Shiyuan Huang, Guangxing Han, Shih-Fu Chang
WIDIn: Wording Image for Domain-Invariant Representation in Single-Source Domain Generalization. CoRR (2024)
Haotian Zhang, Haoxuan You, Philipp Dufter, Bowen Zhang, Chen Chen, Hong-You Chen, Tsu-Jui Fu, William Yang Wang, Shih-Fu Chang, Zhe Gan, Yinfei Yang
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models. CoRR (2024)
Yulei Niu, Wenliang Guo, Long Chen, Xudong Lin, Shih-Fu Chang
SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos. CoRR (2024)
Yulei Niu, Wenliang Guo, Long Chen, Xudong Lin, Shih-Fu Chang
SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos. ICLR (2024)
Kung-Hsiang Huang, Mingyang Zhou, Hou Pong Chan, Yi Fung, Zhenhailong Wang, Lingyu Zhang, Shih-Fu Chang, Heng Ji
Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning. ACL (Findings) (2024)
Ali Zare, Yulei Niu, Hammad A. Ayyubi, Shih-Fu Chang
RAP: Retrieval-Augmented Planner for Adaptive Procedure Planning in Instructional Videos. CoRR (2024)
Shiyuan Huang, Robinson Piramuthu, Vicente Ordonez, Shih-Fu Chang, Gunnar A. Sigurdsson
Characterizing Video Question Answering with Sparsified Inputs. CoRR (2023)
Haoxuan You, Rui Sun, Zhecan Wang, Long Chen, Gengyu Wang, Hammad A. Ayyubi, Kai-Wei Chang, Shih-Fu Chang
IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models. EMNLP (Findings) (2023)
Han Lin, Guangxing Han, Jiawei Ma, Shiyuan Huang, Xudong Lin, Shih-Fu Chang
Supervised Masked Knowledge Distillation for Few-Shot Transformers. CoRR (2023)
Hung-Ting Su, Yulei Niu, Xudong Lin, Winston H. Hsu, Shih-Fu Chang
Language Models are Causal Knowledge Extractors for Zero-shot Video Question Answering. CoRR (2023)
Rui Sun, Zhecan Wang, Haoxuan You, Noel Codella, Kai-Wei Chang, Shih-Fu Chang
UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding. ACL (Findings) (2023)
Jiawei Ma, Yulei Niu, Jincheng Xu, Shiyuan Huang, Guangxing Han, Shih-Fu Chang
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection. CoRR (2023)
Mingyang Zhou, Yi Ren Fung, Long Chen, Christopher Thomas, Heng Ji, Shih-Fu Chang
Enhanced Chart Understanding via Visual Language Pre-training on Plot Table Pairs. ACL (Findings) (2023)
Kung-Hsiang Huang, Mingyang Zhou, Hou Pong Chan, Yi R. Fung, Zhenhailong Wang, Lingyu Zhang, Shih-Fu Chang, Heng Ji
Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning. CoRR (2023)
Andrew Lu, Xudong Lin, Yulei Niu, Shih-Fu Chang
In Defense of Structural Symbolic Representation for Video Event-Relation Prediction. CVPR Workshops (2023)
Xudong Lin, Simran Tiwari, Shiyuan Huang, Manling Li, Mike Zheng Shou, Heng Ji, Shih-Fu Chang
Towards Fast Adaptation of Pretrained Contrastive Models for Multi-channel Video-Language Retrieval. CVPR (2023)
Jiawei Ma, Yulei Niu, Jincheng Xu, Shiyuan Huang, Guangxing Han, Shih-Fu Chang
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection. CVPR (2023)
Brian Chen, Ramprasaath R. Selvaraju, Shih-Fu Chang, Juan Carlos Niebles, Nikhil Naik
PreViTS: Contrastive Pretraining with Video Tracking Supervision. WACV (2023)
Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Daniel Kondermann, Samuel Thomas, Shih-Fu Chang, Rogério Feris, James R. Glass, Hilde Kuehne
What, when, and where? - Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions. CoRR (2023)
Mingyang Zhou, Yi R. Fung, Long Chen, Christopher Thomas, Heng Ji, Shih-Fu Chang
Enhanced Chart Understanding in Vision and Language Task via Cross-modal Pre-training on Plot Table Pairs. CoRR (2023)
Yu Zhou, Sha Li, Manling Li, Xudong Lin, Shih-Fu Chang, Mohit Bansal, Heng Ji
Non-Sequential Graph Script Induction via Multimedia Grounding. ACL (1) (2023)
Hammad A. Ayyubi, Tianqi Liu, Arsha Nagrani, Xudong Lin, Mingda Zhang, Anurag Arnab, Feng Han, Yukun Zhu, Jialu Liu, Shih-Fu Chang
Video Summarization: Towards Entity-Aware Captions. CoRR (2023)
Han Lin, Guangxing Han, Jiawei Ma, Shiyuan Huang, Xudong Lin, Shih-Fu Chang
Supervised Masked Knowledge Distillation for Few-Shot Transformers. CVPR (2023)
Hammad A. Ayyubi, Rahul Lokesh, Alireza Zareian, Bo Wu, Shih-Fu Chang
Learning from Children: Improving Image-Caption Pretraining via Curriculum. ACL (Findings) (2023)
Guang Yang, Manling Li, Jiajie Zhang, Xudong Lin, Heng Ji, Shih-Fu Chang
Video Event Extraction via Tracking Visual States of Arguments. AAAI (2023)
Hung-Ting Su, Yulei Niu, Xudong Lin, Winston H. Hsu, Shih-Fu Chang
Language Models are Causal Knowledge Extractors for Zero-shot Video Question Answering. CVPR Workshops (2023)
Yu Zhou, Sha Li, Manling Li, Xudong Lin, Shih-Fu Chang, Mohit Bansal, Heng Ji
Non-Sequential Graph Script Induction via Multimedia Grounding. CoRR (2023)
Hammad A. Ayyubi, Rahul Lokesh, Alireza Zareian, Bo Wu, Shih-Fu Chang
Learning from Children: Improving Image-Caption Pretraining via Curriculum. CoRR (2023)
Andrew Lu, Xudong Lin, Yulei Niu, Shih-Fu Chang
In Defense of Structural Symbolic Representation for Video Event-Relation Prediction. CoRR (2023)
Zhecan Wang, Long Chen, Haoxuan You, Keyang Xu, Yicheng He, Wenhao Li, Noel Codella, Kai-Wei Chang, Shih-Fu Chang
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond. EMNLP (Findings) (2023)
Haoxuan You, Rui Sun, Zhecan Wang, Long Chen, Gengyu Wang, Hammad A. Ayyubi, Kai-Wei Chang, Shih-Fu Chang
IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models. CoRR (2023)
Yuncong Yang, Jiawei Ma, Shiyuan Huang, Long Chen, Xudong Lin, Guangxing Han, Shih-Fu Chang
TempCLR: Temporal Alignment Representation with Contrastive Learning. ICLR (2023)
Zhecan Wang, Long Chen, Haoxuan You, Keyang Xu, Yicheng He, Wenhao Li, Noel Codella, Kai-Wei Chang, Shih-Fu Chang
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond. CoRR (2023)
Rui Sun, Zhecan Wang, Haoxuan You, Noel Codella, Kai-Wei Chang, Shih-Fu Chang
UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding. CoRR (2023)
Haoxuan You, Haotian Zhang, Zhe Gan, Xianzhi Du, Bowen Zhang, Zirui Wang, Liangliang Cao, Shih-Fu Chang, Yinfei Yang
Ferret: Refer and Ground Anything Anywhere at Any Granularity. CoRR (2023)
Xudong Lin, Simran Tiwari, Shiyuan Huang, Manling Li, Mike Zheng Shou, Heng Ji, Shih-Fu Chang
Towards Fast Adaptation of Pretrained Contrastive Models for Multi-channel Video-Language Retrieval. CoRR (2022)
Long Chen, Yulei Niu, Brian Chen, Xudong Lin, Guangxing Han, Christopher Thomas, Hammad A. Ayyubi, Heng Ji, Shih-Fu Chang
Weakly-Supervised Temporal Article Grounding. EMNLP (2022)
Shiyuan Huang, Robinson Piramuthu, Shih-Fu Chang, Gunnar A. Sigurdsson
Video in 10 Bits: Few-Bit VideoQA for Efficiency and Privacy. ECCV Workshops (5) (2022)
Zhenhailong Wang, Manling Li, Ruochen Xu, Luowei Zhou, Jie Lei, Xudong Lin, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Derek Hoiem, Shih-Fu Chang, Mohit Bansal, Heng Ji
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners. CoRR (2022)
Jiawei Ma, Xu Zhang, Yue Wu, Varsha Hedau, Shih-Fu Chang
Few-Shot Gaze Estimation with Model Offset Predictors. ICASSP (2022)
Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Zhibo Chen, Shih-Fu Chang
Beyond Triplet Loss: Meta Prototypical N-Tuple Loss for Person Re-identification. IEEE Trans. Multim. 24 (2022)
Guangxing Han, Shiyuan Huang, Jiawei Ma, Yicheng He, Shih-Fu Chang
Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment. AAAI (2022)
Guangxing Han, Jiawei Ma, Shiyuan Huang, Long Chen, Shih-Fu Chang
Few-Shot Object Detection with Fully Cross-Transformer. CVPR (2022)
Zhecan Wang, Haoxuan You, Yicheng He, Wenhao Li, Kai-Wei Chang, Shih-Fu Chang
Understanding ME? Multimodal Evaluation for Fine-grained Visual Commonsense. EMNLP (2022)
Haoxuan You, Luowei Zhou, Bin Xiao, Noel Codella, Yu Cheng, Ruochen Xu, Shih-Fu Chang, Lu Yuan
Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training. ECCV (27) (2022)
Gourav Datta, Tyler Etchart, Vivek Yadav, Varsha Hedau, Pradeep Natarajan, Shih-Fu Chang
Asd-Transformer: Efficient Active Speaker Detection Using Self And Multimodal Transformers. ICASSP (2022)
Zhecan Wang, Haoxuan You, Yicheng He, Wenhao Li, Kai-Wei Chang, Shih-Fu Chang
Understanding ME? Multimodal Evaluation for Fine-grained Visual Commonsense. CoRR (2022)
Yuncong Yang, Jiawei Ma, Shiyuan Huang, Long Chen, Xudong Lin, Guangxing Han, Shih-Fu Chang
TempCLR: Temporal Alignment Representation with Contrastive Learning. CoRR (2022)
Shiyuan Huang, Jiawei Ma, Guangxing Han, Shih-Fu Chang
Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition. CVPR (2022)
Guangxing Han, Jiawei Ma, Shiyuan Huang, Long Chen, Shih-Fu Chang
Few-Shot Object Detection with Fully Cross-Transformer. CoRR (2022)
Mang Ye, Jianbing Shen, Xu Zhang, Pong C. Yuen, Shih-Fu Chang
Augmentation Invariant and Instance Spreading Feature for Softmax Embedding. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Xudong Lin, Fabio Petroni, Gedas Bertasius, Marcus Rohrbach, Shih-Fu Chang, Lorenzo Torresani
Learning To Recognize Procedural Activities with Distant Supervision. CoRR (2022)
Long Chen, Yulei Niu, Brian Chen, Xudong Lin, Guangxing Han, Christopher Thomas, Hammad A. Ayyubi, Heng Ji, Shih-Fu Chang
Weakly-Supervised Temporal Article Grounding. CoRR (2022)
Revanth Gangi Reddy, Xilin Rui, Manling Li, Xudong Lin, Haoyang Wen, Jaemin Cho, Lifu Huang, Mohit Bansal, Avirup Sil, Shih-Fu Chang, Alexander G. Schwing, Heng Ji
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding. AAAI (2022)
Zhecan Wang, Noel Codella, Yen-Chun Chen, Luowei Zhou, Jianwei Yang, Xiyang Dai, Bin Xiao, Haoxuan You, Shih-Fu Chang, Lu Yuan
CLIP-TD: CLIP Targeted Distillation for Vision-Language Tasks. CoRR (2022)
Haoxuan You, Luowei Zhou, Bin Xiao, Noel Codella, Yu Cheng, Ruochen Xu, Shih-Fu Chang, Lu Yuan
Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training. CoRR (2022)
Zhecan Wang, Haoxuan You, Liunian Harold Li, Alireza Zareian, Suji Park, Yiqing Liang, Kai-Wei Chang, Shih-Fu Chang
SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning. AAAI (2022)
Shiyuan Huang, Robinson Piramuthu, Shih-Fu Chang, Gunnar A. Sigurdsson
Video in 10 Bits: Few-Bit VideoQA for Efficiency and Privacy. CoRR (2022)
Christopher Thomas, Yipeng Zhang, Shih-Fu Chang
Fine-Grained Visual Entailment. ECCV (36) (2022)
Jiawei Ma, Guangxing Han, Shiyuan Huang, Yuncong Yang, Shih-Fu Chang
Few-Shot End-to-End Object Detection via Constantly Concentrated Encoding Across Heads. ECCV (26) (2022)
Guangxing Han, Jiawei Ma, Shiyuan Huang, Long Chen, Rama Chellappa, Shih-Fu Chang
Multimodal Few-Shot Object Detection with Meta-Learning Based Cross-Modal Prompting. CoRR (2022)
Jianhang Chen, Xu Zhang, Yue Wu, Shalini Ghosh, Pradeep Natarajan, Shih-Fu Chang, Jan P. Allebach
One-Stage Object Referring with Gaze Estimation. CVPR Workshops (2022)
Xudong Lin, Fabio Petroni, Gedas Bertasius, Marcus Rohrbach, Shih-Fu Chang, Lorenzo Torresani
Learning To Recognize Procedural Activities with Distant Supervision. CVPR (2022)
Haoxuan You, Rui Sun, Zhecan Wang, Kai-Wei Chang, Shih-Fu Chang
Find Someone Who: Visual Commonsense Understanding in Human-Centric Grounding. CoRR (2022)
Hammad A. Ayyubi, Christopher Thomas, Lovish Chum, Rahul Lokesh, Yulei Niu, Xudong Lin, Long Chen, Jaywon Koo, Sounak Ray, Shih-Fu Chang
Multimodal Event Graphs: Towards Event Centric Understanding of Multimodal World. CoRR (2022)
Zhecan Wang, Noel Codella, Yen-Chun Chen, Luowei Zhou, Xiyang Dai, Bin Xiao, Jianwei Yang, Haoxuan You, Kai-Wei Chang, Shih-Fu Chang, Lu Yuan
Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks. CoRR (2022)
Christopher Thomas, Yipeng Zhang, Shih-Fu Chang
Fine-Grained Visual Entailment. CoRR (2022)
Guang Yang, Manling Li, Jiajie Zhang, Xudong Lin, Shih-Fu Chang, Heng Ji
Video Event Extraction via Tracking Visual States of Arguments. CoRR (2022)
Haoxuan You, Rui Sun, Zhecan Wang, Kai-Wei Chang, Shih-Fu Chang
Find Someone Who: Visual Commonsense Understanding in Human-Centric Grounding. EMNLP (Findings) (2022)
Manling Li, Ruochen Xu, Shuohang Wang, Luowei Zhou, Xudong Lin, Chenguang Zhu, Michael Zeng, Heng Ji, Shih-Fu Chang
CLIP-Event: Connecting Text and Images with Event Structures. CoRR (2022)
Zhenhailong Wang, Manling Li, Ruochen Xu, Luowei Zhou, Jie Lei, Xudong Lin, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Derek Hoiem, Shih-Fu Chang, Mohit Bansal, Heng Ji
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners. NeurIPS (2022)
Manling Li, Ruochen Xu, Shuohang Wang, Luowei Zhou, Xudong Lin, Chenguang Zhu, Michael Zeng, Heng Ji, Shih-Fu Chang
CLIP-Event: Connecting Text and Images with Event Structures. CVPR (2022)
Guangxing Han, Yicheng He, Shiyuan Huang, Jiawei Ma, Shih-Fu Chang
Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks. ICCV (2021)
Zhecan Wang, Haoxuan You, Liunian Harold Li, Alireza Zareian, Suji Park, Yiqing Liang, Kai-Wei Chang, Shih-Fu Chang
SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning. CoRR (2021)
Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogério Schmidt Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. CoRR (2021)
Guangxing Han, Yicheng He, Shiyuan Huang, Jiawei Ma, Shih-Fu Chang
Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks. CoRR (2021)
Guangxing Han, Shiyuan Huang, Jiawei Ma, Yicheng He, Shih-Fu Chang
Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment. CoRR (2021)
Brian Chen, Xudong Lin, Christopher Thomas, Manling Li, Shoya Yoshida, Lovish Chum, Heng Ji, Shih-Fu Chang
Joint Multimedia Event Extraction from Video and Article. CoRR (2021)
Sijie Song, Xudong Lin, Jiaying Liu, Zongming Guo, Shih-Fu Chang
Co-Grounding Networks with Semantic Attention for Referring Expression Comprehension in Videos. CoRR (2021)
Hassan Akbari, Liangzhe Yuan, Rui Qian, Wei-Hong Chuang, Shih-Fu Chang, Yin Cui, Boqing Gong
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text. CoRR (2021)
Brian Chen, Xudong Lin, Christopher Thomas, Manling Li, Shoya Yoshida, Lovish Chum, Heng Ji, Shih-Fu Chang
Joint Multimedia Event Extraction from Video and Article. EMNLP (Findings) (2021)
Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. ICCV (2021)
Liunian Harold Li, Haoxuan You, Zhecan Wang, Alireza Zareian, Shih-Fu Chang, Kai-Wei Chang
Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions. NAACL-HLT (2021)
Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Yi Fung, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. NAACL-HLT (Demonstrations) (2021)
Yi Fung, Christopher Thomas, Revanth Gangi Reddy, Sandeep Polisetty, Heng Ji, Shih-Fu Chang, Kathleen R. McKeown, Mohit Bansal, Avi Sil
InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection. ACL/IJCNLP (1) (2021)
Yulei Niu, Hanwang Zhang, Zhiwu Lu, Shih-Fu Chang
Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions. IEEE Trans. Pattern Anal. Mach. Intell. 43 (1) (2021)
Long Chen, Wenbo Ma, Jun Xiao, Hanwang Zhang, Shih-Fu Chang
Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding. AAAI (2021)
Hassan Akbari, Liangzhe Yuan, Rui Qian, Wei-Hong Chuang, Shih-Fu Chang, Yin Cui, Boqing Gong
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text. NeurIPS (2021)
Jiawei Ma, Hanchen Xie, Guangxing Han, Shih-Fu Chang, Aram Galstyan, Wael Abd-Almageed
Partner-Assisted Learning for Few-Shot Image Classification. CoRR (2021)
Alireza Zareian, Kevin Dela Rosa, Derek Hao Hu, Shih-Fu Chang
Open-Vocabulary Object Detection Using Captions. CVPR (2021)
Jiawei Ma, Hanchen Xie, Guangxing Han, Shih-Fu Chang, Aram Galstyan, Wael Abd-Almageed
Partner-Assisted Learning for Few-Shot Image Classification. ICCV (2021)
Xudong Lin, Gedas Bertasius, Jue Wang, Shih-Fu Chang, Devi Parikh, Lorenzo Torresani
VX2TEXT: End-to-End Learning of Video-Based Text Generation From Multimodal Inputs. CoRR (2021)
Sijie Song, Xudong Lin, Jiaying Liu, Zongming Guo, Shih-Fu Chang
Co-Grounding Networks With Semantic Attention for Referring Expression Comprehension in Videos. CVPR (2021)
Haoyang Wen, Ying Lin, Tuan Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Fung, Piyush Mishra, Qing Lyu, Dídac Surís, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji
RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System. NAACL-HLT (Demonstrations) (2021)
Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Zhibo Chen, Shih-Fu Chang
Uncertainty-Aware Few-Shot Image Classification. IJCAI (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shih-Fu Chang