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Zineng Tang
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2020 – today
- 2024
- [c13]Zineng Tang, Ziyi Yang, Mahmoud Khademi, Yang Liu, Chenguang Zhu, Mohit Bansal:
CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation. CVPR 2024: 27415-27424 - [c12]Zineng Tang, Lingjun Mao, Alane Suhr:
Grounding Language in Multi-Perspective Referential Communication. EMNLP 2024: 19727-19741 - [i10]Yizhou Chi, Lingjun Mao, Zineng Tang:
AMONGAGENTS: Evaluating Large Language Models in the Interactive Text-Based Social Deduction Game. CoRR abs/2407.16521 (2024) - [i9]Zineng Tang, Lingjun Mao, Alane Suhr:
Grounding Language in Multi-Perspective Referential Communication. CoRR abs/2410.03959 (2024) - 2023
- [c11]Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal:
Unifying Vision, Text, and Layout for Universal Document Processing. CVPR 2023: 19254-19264 - [c10]Zineng Tang, Ziyi Yang, Chenguang Zhu, Michael Zeng, Mohit Bansal:
Any-to-Any Generation via Composable Diffusion. NeurIPS 2023 - [c9]Zhenhailong Wang, Ansel Blume, Sha Li, Genglin Liu, Jaemin Cho, Zineng Tang, Mohit Bansal, Heng Ji:
Paxion: Patching Action Knowledge in Video-Language Foundation Models. NeurIPS 2023 - [c8]Zineng Tang, Jaemin Cho, Jie Lei, Mohit Bansal:
PERCEIVER-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention. WACV 2023: 4399-4409 - [i8]Zhenhailong Wang, Ansel Blume, Sha Li, Genglin Liu, Jaemin Cho, Zineng Tang, Mohit Bansal, Heng Ji:
Paxion: Patching Action Knowledge in Video-Language Foundation Models. CoRR abs/2305.10683 (2023) - [i7]Zineng Tang, Ziyi Yang, Chenguang Zhu, Michael Zeng, Mohit Bansal:
Any-to-Any Generation via Composable Diffusion. CoRR abs/2305.11846 (2023) - [i6]Zineng Tang, Ziyi Yang, Mahmoud Khademi, Yang Liu, Chenguang Zhu, Mohit Bansal:
CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation. CoRR abs/2311.18775 (2023) - 2022
- [c7]Zineng Tang, Jaemin Cho, Yixin Nie, Mohit Bansal:
TVLT: Textless Vision-Language Transformer. NeurIPS 2022 - [i5]Zineng Tang, Jaemin Cho, Yixin Nie, Mohit Bansal:
TVLT: Textless Vision-Language Transformer. CoRR abs/2209.14156 (2022) - [i4]Zineng Tang, Jaemin Cho, Jie Lei, Mohit Bansal:
Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention. CoRR abs/2211.11701 (2022) - [i3]Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal:
Unifying Vision, Text, and Layout for Universal Document Processing. CoRR abs/2212.02623 (2022) - 2021
- [c6]Zineng Tang, Shiyue Zhang, Hyounghun Kim, Mohit Bansal:
Continuous Language Generative Flow. ACL/IJCNLP (1) 2021: 4609-4622 - [c5]Zineng Tang, Jie Lei, Mohit Bansal:
DeCEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy Minimization. NAACL-HLT 2021: 2415-2426 - [c4]Zineng Tang, Jaemin Cho, Hao Tan, Mohit Bansal:
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer. NeurIPS 2021: 24468-24481 - [i2]Zineng Tang, Jaemin Cho, Hao Tan, Mohit Bansal:
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer. CoRR abs/2107.02681 (2021) - 2020
- [c3]Hyounghun Kim, Zineng Tang, Mohit Bansal:
Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA. ACL 2020: 4812-4822 - [i1]Hyounghun Kim, Zineng Tang, Mohit Bansal:
Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA. CoRR abs/2005.06409 (2020)
2010 – 2019
- 2019
- [c2]Zineng Tang:
Deep Colorization by Variation. CIKM 2019: 2201-2204 - [c1]Zineng Tang:
Adaptive Aesthetic Photo Filter by Deep Learning. ICVARS 2019: 67-72
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