Search Results for author: Yuming Shen

Found 20 papers, 9 papers with code

Modeling Orders of User Behaviors via Differentiable Sorting: A Multi-task Framework to Predicting User Post-click Conversion

no code implementations18 Jul 2023 Menghan Wang, Jinming Yang, Yuchen Guo, Yuming Shen, Mengying Zhu, Yanlin Wang

Inspired by recent advances on differentiable sorting, in this paper, we propose a novel multi-task framework that leverages orders of user behaviors to predict user post-click conversion in an end-to-end approach.

Multi-Task Learning Selection bias

PhysFormer++: Facial Video-based Physiological Measurement with SlowFast Temporal Difference Transformer

no code implementations7 Feb 2023 Zitong Yu, Yuming Shen, Jingang Shi, Hengshuang Zhao, Yawen Cui, Jiehua Zhang, Philip Torr, Guoying Zhao

As key modules in PhysFormer, the temporal difference transformers first enhance the quasi-periodic rPPG features with temporal difference guided global attention, and then refine the local spatio-temporal representation against interference.

Evolutionary Generalized Zero-Shot Learning

no code implementations23 Nov 2022 Dubing Chen, Haofeng Zhang, Yuming Shen, Yang Long, Ling Shao

In this work, we propose a novel Evolutionary Generalized Zero-Shot Learning setting, which (i) avoids the domain shift problem in inductive GZSL, and (ii) is more in line with the needs of real-world deployments than transductive GZSL.

Generalized Zero-Shot Learning

Zero-Shot Logit Adjustment

1 code implementation25 Apr 2022 Dubing Chen, Yuming Shen, Haofeng Zhang, Philip H. S. Torr

As a consequence of our derivation, the aforementioned two properties are incorporated into the classifier training as seen-unseen priors via logit adjustment.

 Ranked #1 on Generalized Zero-Shot Learning on AwA2 (Accuracy Unseen metric)

Bayesian Inference Generalized Zero-Shot Learning +1

Deconstructed Generation-Based Zero-Shot Model

1 code implementation24 Apr 2022 Dubing Chen, Yuming Shen, Haofeng Zhang, Philip H. S. Torr

Recent research on Generalized Zero-Shot Learning (GZSL) has focused primarily on generation-based methods.

Attribute Generalized Zero-Shot Learning

MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning

no code implementations18 Apr 2022 Menghan Wang, Yuchen Guo, Zhenqi Zhao, Guangzheng Hu, Yuming Shen, Mingming Gong, Philip Torr

To alleviate the influence of the annotation bias, we perform a momentum update to ensure a consistent item representation.

Learning to Hash Naturally Sorts

no code implementations31 Jan 2022 Jiaguo Yu, Yuming Shen, Menghan Wang, Haofeng Zhang, Philip H. S. Torr

In this paper, we tackle this problem by introducing Naturally-Sorted Hashing (NSH).

Contrastive Learning Deep Hashing

PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer

1 code implementation CVPR 2022 Zitong Yu, Yuming Shen, Jingang Shi, Hengshuang Zhao, Philip Torr, Guoying Zhao

Remote photoplethysmography (rPPG), which aims at measuring heart activities and physiological signals from facial video without any contact, has great potential in many applications (e. g., remote healthcare and affective computing).

Learning Syntactic Dense Embedding with Correlation Graph for Automatic Readability Assessment

no code implementations ACL 2021 Xinying Qiu, Yuan Chen, Hanwu Chen, Jian-Yun Nie, Yuming Shen, Dawei Lu

Deep learning models for automatic readability assessment generally discard linguistic features traditionally used in machine learning models for the task.

You Never Cluster Alone

no code implementations NeurIPS 2021 Yuming Shen, Ziyi Shen, Menghan Wang, Jie Qin, Philip H. S. Torr, Ling Shao

On one hand, with the corresponding assignment variables being the weight, a weighted aggregation along the data points implements the set representation of a cluster.

Clustering Contrastive Learning +1

Invertible Zero-Shot Recognition Flows

1 code implementation ECCV 2020 Yuming Shen, Jie Qin, Lei Huang

Deep generative models have been successfully applied to Zero-Shot Learning (ZSL) recently.

Zero-Shot Learning

Auto-Encoding Twin-Bottleneck Hashing

2 code implementations CVPR 2020 Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao

One bottleneck (i. e., binary codes) conveys the high-level intrinsic data structure captured by the code-driven graph to the other (i. e., continuous variables for low-level detail information), which in turn propagates the updated network feedback for the encoder to learn more discriminative binary codes.

graph construction Retrieval

Embarrassingly Simple Binary Representation Learning

1 code implementation26 Aug 2019 Yuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu

Recent binary representation learning models usually require sophisticated binary optimization, similarity measure or even generative models as auxiliaries.

Representation Learning

Zero-Shot Sketch-Image Hashing

1 code implementation CVPR 2018 Yuming Shen, Li Liu, Fumin Shen, Ling Shao

As an important part of ZSIH, we formulate a generative hashing scheme in reconstructing semantic knowledge representations for zero-shot retrieval.

Representation Learning Retrieval +1

Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval

no code implementations ICCV 2017 Yuming Shen, Li Liu, Ling Shao, Jingkuan Song

Cross-modal hashing is usually regarded as an effective technique for large-scale textual-visual cross retrieval, where data from different modalities are mapped into a shared Hamming space for matching.

Cross-Modal Retrieval Descriptive +1

Deep Sketch Hashing: Fast Free-hand Sketch-Based Image Retrieval

1 code implementation CVPR 2017 Li Liu, Fumin Shen, Yuming Shen, Xianglong Liu, Ling Shao

Free-hand sketch-based image retrieval (SBIR) is a specific cross-view retrieval task, in which queries are abstract and ambiguous sketches while the retrieval database is formed with natural images.

Retrieval Sketch-Based Image Retrieval

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