Search Results for author: Jie Lei

Found 52 papers, 32 papers with code

Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios

no code implementations4 Feb 2024 Yuxin Wang, Zunlei Feng, Haofei Zhang, Yang Gao, Jie Lei, Li Sun, Mingli Song

Due to the inability to receive signals from the Global Navigation Satellite System (GNSS) in extreme conditions, achieving accurate and robust navigation for Unmanned Aerial Vehicles (UAVs) is a challenging task.

Domain Adaptation for Large-Vocabulary Object Detectors

no code implementations13 Jan 2024 Kai Jiang, Jiaxing Huang, Weiying Xie, Jie Lei, Yunsong Li, Ling Shao, Shijian Lu

Large-vocabulary object detectors (LVDs) aim to detect objects of many categories, which learn super objectness features and can locate objects accurately while applied to various downstream data.

Domain Adaptation Knowledge Graphs +2

Multimodal Informative ViT: Information Aggregation and Distribution for Hyperspectral and LiDAR Classification

1 code implementation6 Jan 2024 Jiaqing Zhang, Jie Lei, Weiying Xie, Geng Yang, Daixun Li, Yunsong Li

Additionally, the information distribution flow (IDF) in MIVit enhances performance-awareness by distributing global classification information across different modalities' feature maps.

Land Cover Classification

Distribution-aware Interactive Attention Network and Large-scale Cloud Recognition Benchmark on FY-4A Satellite Image

1 code implementation6 Jan 2024 Jiaqing Zhang, Jie Lei, Weiying Xie, Kai Jiang, Mingxiang Cao, Yunsong Li

Accurate cloud recognition and warning are crucial for various applications, including in-flight support, weather forecasting, and climate research.

Domain Adaptation Specificity +1

JointSQ: Joint Sparsification-Quantization for Distributed Learning

no code implementations CVPR 2024 Weiying Xie, Haowei Li, Jitao Ma, Yunsong Li, Jie Lei, Donglai Liu, Leyuan Fang

In this paper we propose Joint Sparsification-Quantization (JointSQ) inspired by the discovery that sparsification can be treated as 0-bit quantization regardless of architectures.

Quantization

Physics Inspired Criterion for Pruning-Quantization Joint Learning

1 code implementation1 Dec 2023 Weiying Xie, Xiaoyi Fan, Xin Zhang, Yunsong Li, Jie Lei, Leyuan Fang

Pruning-quantization joint learning always facilitates the deployment of deep neural networks (DNNs) on resource-constrained edge devices.

Image Classification Model Compression +1

AFPN: Asymptotic Feature Pyramid Network for Object Detection

1 code implementation28 Jun 2023 Guoyu Yang, Jie Lei, Zhikuan Zhu, Siyu Cheng, Zunlei Feng, Ronghua Liang

Multi-scale features are of great importance in encoding objects with scale variance in object detection tasks.

Object object-detection +1

ViT-Calibrator: Decision Stream Calibration for Vision Transformer

no code implementations10 Apr 2023 Lin Chen, Zhijie Jia, Tian Qiu, Lechao Cheng, Jie Lei, Zunlei Feng, Mingli Song

In this work, we propose a new paradigm dubbed Decision Stream Calibration that boosts the performance of general Vision Transformers.

Toward matrix multiplication for deep learning inference on the Xilinx Versal

no code implementations15 Feb 2023 Jie Lei, José Flich, Enrique S. Quintana-Ortí

The remarkable positive impact of Deep Neural Networks on many Artificial Intelligence (AI) tasks has led to the development of various high performance algorithms as well as specialized processors and accelerators.

valid

Toward Stable, Interpretable, and Lightweight Hyperspectral Super-Resolution

1 code implementation CVPR 2023 Weiying Xie, Kai Jiang, Yunsong Li, Jie Lei, Leyuan Fang, Wen-jin Guo

Specifically, we create a positive cycle between fusion and degradation estimation under a new probabilistic framework.

Super-Resolution

A Loopback Network for Explainable Microvascular Invasion Classification

no code implementations CVPR 2023 Shengxuming Zhang, Tianqi Shi, Yang Jiang, Xiuming Zhang, Jie Lei, Zunlei Feng, Mingli Song

The loopback between two branches enables the category label to supervise the cell locating branch to learn the locating ability for cancerous areas.

Binary Classification Classification

Guided Hybrid Quantization for Object detection in Multimodal Remote Sensing Imagery via One-to-one Self-teaching

1 code implementation31 Dec 2022 Jiaqing Zhang, Jie Lei, Weiying Xie, Yunsong Li, Xiuping Jia

More concretely, we first design a structure called guided quantization self-distillation (GQSD), which is an innovative idea for realizing lightweight through the synergy of quantization and distillation.

object-detection Object Detection +1

Vision Transformers are Parameter-Efficient Audio-Visual Learners

1 code implementation CVPR 2023 Yan-Bo Lin, Yi-Lin Sung, Jie Lei, Mohit Bansal, Gedas Bertasius

To do so, we propose a latent audio-visual hybrid (LAVISH) adapter that adapts pretrained ViTs to audio-visual tasks by injecting a small number of trainable parameters into every layer of a frozen ViT.

Audio-visual Question Answering

VindLU: A Recipe for Effective Video-and-Language Pretraining

1 code implementation CVPR 2023 Feng Cheng, Xizi Wang, Jie Lei, David Crandall, Mohit Bansal, Gedas Bertasius

Furthermore, our model also obtains state-of-the-art video question-answering results on ActivityNet-QA, MSRVTT-QA, MSRVTT-MC and TVQA.

Ranked #2 on Video Retrieval on Condensed Movies (using extra training data)

Question Answering Retrieval +3

Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention

1 code implementation21 Nov 2022 Zineng Tang, Jaemin Cho, Jie Lei, Mohit Bansal

We present Perceiver-VL, a vision-and-language framework that efficiently handles high-dimensional multimodal inputs such as long videos and text.

Cross-Modal Retrieval Language Modelling +1

SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery

1 code implementation27 Sep 2022 Jiaqing Zhang, Jie Lei, Weiying Xie, Zhenman Fang, Yunsong Li, Qian Du

Furthermore, we design a simple and flexible SR branch to learn HR feature representations that can discriminate small objects from vast backgrounds with low-resolution (LR) input, thus further improving the detection accuracy.

Real-Time Object Detection Small Object Detection +1

Revealing Single Frame Bias for Video-and-Language Learning

2 code implementations7 Jun 2022 Jie Lei, Tamara L. Berg, Mohit Bansal

Training an effective video-and-language model intuitively requires multiple frames as model inputs.

Ranked #5 on Video Retrieval on SSv2-template retrieval (using extra training data)

Fine-grained Action Recognition Language Modelling +6

Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners

1 code implementation22 May 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

The goal of this work is to build flexible video-language models that can generalize to various video-to-text tasks from few examples, such as domain-specific captioning, question answering, and future event prediction.

Attribute Automatic Speech Recognition +6

Transcoded Video Restoration by Temporal Spatial Auxiliary Network

1 code implementation15 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.

Video Editing Video Restoration

Detecting Moments and Highlights in Videos via Natural Language Queries

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.

Decoder Moment Retrieval +3

Boundary Knowledge Translation based Reference Semantic Segmentation

no code implementations1 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.

Segmentation Semantic Segmentation +1

Edge-competing Pathological Liver Vessel Segmentation with Limited Labels

1 code implementation1 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.

Segmentation whole slide images

MTVR: Multilingual Moment Retrieval in Videos

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.

Moment Retrieval Retrieval

QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries

4 code implementations20 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.

Highlight Detection Moment Retrieval +2

VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning

1 code implementation21 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.

Action Classification Action Recognition +2

Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models

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.

Data Augmentation Question Answering +1

DeCEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy Minimization

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.

Question Answering Retrieval +4

Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling

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 #27 on Visual Question Answering (VQA) on MSRVTT-QA (using extra training data)

Question Answering Retrieval +4

Unifying Vision-and-Language Tasks via Text Generation

2 code implementations4 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.

Conditional Text Generation Decoder +8

MCM-aware Twin-least-square GAN for Hyperspectral Anomaly Detection

no code implementations1 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.

Anomaly Detection Generative Adversarial Network

Sparse Coding-inspired GAN for Weakly Supervised Hyperspectral Anomaly Detection

no code implementations1 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.

Anomaly Detection Decoder +2

One-sample Guided Object Representation Disassembling

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.

Data Augmentation Image Classification +1

What is More Likely to Happen Next? Video-and-Language Future Event Prediction

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.

A Novel Multi-Step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning

no code implementations4 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.

BIG-bench Machine Learning

MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning

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.

Sentence

TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval

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.

Moment Retrieval Retrieval +2

TVQA+: Spatio-Temporal Grounding for Video Question Answering

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.

Question Answering Video Question Answering

Selective Zero-Shot Classification with Augmented Attributes

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.

Attribute Classification +2

TripletGAN: Training Generative Model with Triplet Loss

no code implementations14 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.

Face Recognition General Classification +1

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