no code implementations • 6 Apr 2022 • Yan-Bo Lin, Jie Lei, Mohit Bansal, Gedas Bertasius
We introduce an audiovisual method for long-range text-to-video retrieval.
no code implementations • 25 Mar 2022 • Jiacong Hu, Jing Gao, Zunlei Feng, Lechao Cheng, Jie Lei, Hujun Bao, Mingli Song
the feature maps are adopted to locate the critical features in each layer.
no code implementations • 10 Mar 2022 • Jie Lei, Xinlei Chen, Ning Zhang, Mengjiao Wang, Mohit Bansal, Tamara L. Berg, Licheng Yu
In this work, we propose LoopITR, which combines them in the same network for joint learning.
1 code implementation • 15 Dec 2021 • Li Xu, Gang He, Jinjia Zhou, Jie Lei, Weiying Xie, Yunsong Li, Yu-Wing Tai
In most video platforms, such as Youtube, and TikTok, the played videos usually have undergone multiple video encodings such as hardware encoding by recording devices, software encoding by video editing apps, and single/multiple video transcoding by video application servers.
1 code implementation • NeurIPS 2021 • Jie Lei, Tamara Berg, Mohit Bansal
Each video in the dataset is annotated with: (1) a human-written free-form NL query, (2) relevant moments in the video w. r. t.
no code implementations • 1 Aug 2021 • Lechao Cheng, Zunlei Feng, Xinchao Wang, Ya Jie Liu, Jie Lei, Mingli Song
In this paper, we introduce a novel Reference semantic segmentation Network (Ref-Net) to conduct visual boundary knowledge translation.
1 code implementation • 1 Aug 2021 • Zunlei Feng, Zhonghua Wang, Xinchao Wang, Xiuming Zhang, Lechao Cheng, Jie Lei, Yuexuan Wang, Mingli Song
The diagnosis of MVI needs discovering the vessels that contain hepatocellular carcinoma cells and counting their number in each vessel, which depends heavily on experiences of the doctor, is largely subjective and time-consuming.
1 code implementation • ACL 2021 • Jie Lei, Tamara L. Berg, Mohit Bansal
We introduce mTVR, a large-scale multilingual video moment retrieval dataset, containing 218K English and Chinese queries from 21. 8K TV show video clips.
2 code implementations • 20 Jul 2021 • Jie Lei, Tamara L. Berg, Mohit Bansal
Each video in the dataset is annotated with: (1) a human-written free-form NL query, (2) relevant moments in the video w. r. t.
1 code implementation • 21 Jun 2021 • Hao Tan, Jie Lei, Thomas Wolf, Mohit Bansal
Unlike language, where the text tokens are more independent, neighboring video tokens typically have strong correlations (e. g., consecutive video frames usually look very similar), and hence uniformly masking individual tokens will make the task too trivial to learn useful representations.
Ranked #4 on
Action Recognition
on Diving-48
1 code implementation • 8 Jun 2021 • Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Eric Wang, William Yang Wang, Tamara Lee Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu
Most existing video-and-language (VidL) research focuses on a single dataset, or multiple datasets of a single task.
no code implementations • ICCV 2021 • Linjie Li, Jie Lei, Zhe Gan, Jingjing Liu
We hope our Adversarial VQA dataset can shed new light on robustness study in the community and serve as a valuable benchmark for future work.
1 code implementation • NAACL 2021 • Zineng Tang, Jie Lei, Mohit Bansal
Second, to alleviate the temporal misalignment issue, our method incorporates an entropy minimization-based constrained attention loss, to encourage the model to automatically focus on the correct caption from a pool of candidate ASR captions.
1 code implementation • CVPR 2021 • Jie Lei, Linjie Li, Luowei Zhou, Zhe Gan, Tamara L. Berg, Mohit Bansal, Jingjing Liu
Experiments on text-to-video retrieval and video question answering on six datasets demonstrate that ClipBERT outperforms (or is on par with) existing methods that exploit full-length videos, suggesting that end-to-end learning with just a few sparsely sampled clips is often more accurate than using densely extracted offline features from full-length videos, proving the proverbial less-is-more principle.
Ranked #4 on
Visual Question Answering
on MSRVTT-QA
(using extra training data)
1 code implementation • 4 Feb 2021 • Jaemin Cho, Jie Lei, Hao Tan, Mohit Bansal
On 7 popular vision-and-language benchmarks, including visual question answering, referring expression comprehension, visual commonsense reasoning, most of which have been previously modeled as discriminative tasks, our generative approach (with a single unified architecture) reaches comparable performance to recent task-specific state-of-the-art vision-and-language models.
Ranked #5 on
Visual Question Answering
on VCR (Q-AR) test
no code implementations • 1 Jan 2021 • Tao Jiang, Weiying Xie, Jie Lei, Yunsong Li, Zan Li
For solving these problems, this paper proposes a sparse coding-inspired generative adversarial network (GAN) for weakly supervised HAD, named sparseHAD.
no code implementations • 1 Jan 2021 • Jiaping Zhong, Weiying Xie, Jie Lei, Yunsong Li, Zan Li
Hyperspectral anomaly detection under high-dimensional data and interference of deteriorated bands without any prior information has been challenging and attracted close attention in the exploration of the unknown in real scenarios.
no code implementations • ICCV 2021 • Zunlei Feng, Zhonghua Wang, Xinchao Wang, Yining Mao, Thomas Li, Jie Lei, Yuexuan Wang, Mingli Song
The existing two unsupervised methods are prone to failure on degenerated samples.
no code implementations • NeurIPS 2020 • Zunlei Feng, Yongming He, Xinchao Wang, Xin Gao, Jie Lei, Cheng Jin, Mingli Song
In this paper, we introduce the One-sample Guided Object Representation Disassembling (One-GORD) method, which only requires one annotated sample for each object category to learn disassembled object representation from unannotated images.
1 code implementation • EMNLP 2020 • Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal
Given a video with aligned dialogue, people can often infer what is more likely to happen next.
no code implementations • 4 Jul 2020 • K. Darshana Abeyrathna, Ole-Christoffer Granmo, Rishad Shafik, Alex Yakovlev, Adrian Wheeldon, Jie Lei, Morten Goodwin
However, TMs rely heavily on energy-costly random number generation to stochastically guide a team of Tsetlin Automata to a Nash Equilibrium of the TM game.
1 code implementation • ACL 2020 • Jie Lei, Li-Wei Wang, Yelong Shen, Dong Yu, Tamara L. Berg, Mohit Bansal
Generating multi-sentence descriptions for videos is one of the most challenging captioning tasks due to its high requirements for not only visual relevance but also discourse-based coherence across the sentences in the paragraph.
Ranked #2 on
Video Captioning
on ActivityNet Captions
2 code implementations • ECCV 2020 • Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal
The queries are also labeled with query types that indicate whether each of them is more related to video or subtitle or both, allowing for in-depth analysis of the dataset and the methods that built on top of it.
Ranked #2 on
Video Retrieval
on TVR
3 code implementations • ACL 2020 • Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal
We present the task of Spatio-Temporal Video Question Answering, which requires intelligent systems to simultaneously retrieve relevant moments and detect referenced visual concepts (people and objects) to answer natural language questions about videos.
Ranked #3 on
Video Question Answering
on TVQA
4 code implementations • EMNLP 2018 • Jie Lei, Licheng Yu, Mohit Bansal, Tamara L. Berg
Recent years have witnessed an increasing interest in image-based question-answering (QA) tasks.
Ranked #3 on
Video Question Answering
on SUTD-TrafficQA
no code implementations • ECCV 2018 • Jie Song, Chengchao Shen, Jie Lei, An-Xiang Zeng, Kairi Ou, DaCheng Tao, Mingli Song
We propose a selective zero-shot classifier based on both the human defined and the automatically discovered residual attributes.
no code implementations • 14 Nov 2017 • Gongze Cao, Yezhou Yang, Jie Lei, Cheng Jin, Yang Liu, Mingli Song
As an effective way of metric learning, triplet loss has been widely used in many deep learning tasks, including face recognition and person-ReID, leading to many states of the arts.