Zhiqiang Shen

According to our database1, Zhiqiang Shen authored at least 52 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2021
Joint Multi-Dimension Pruning via Numerical Gradient Update.
IEEE Trans. Image Process., 2021

CDTD: A Large-Scale Cross-Domain Benchmark for Instance-Level Image-to-Image Translation and Domain Adaptive Object Detection.
Int. J. Comput. Vis., 2021

Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation.
CoRR, 2021

Sliced Recursive Transformer.
CoRR, 2021

Multi-modal Self-supervised Pre-training for Regulatory Genome Across Cell Types.
CoRR, 2021

COTR: Convolution in Transformer Network for End to End Polyp Detection.
CoRR, 2021

Interpretative computer-aided lung cancer diagnosis: From radiology analysis to malignancy evaluation.
Comput. Methods Programs Biomed., 2021

Conditional Link Prediction of Category-Implicit Keypoint Detection.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Latent Memory-augmented Graph Transformer for Visual Storytelling.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

How Do Adam and Training Strategies Help BNNs Optimization.
Proceedings of the 38th International Conference on Machine Learning, 2021

Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study.
Proceedings of the 9th International Conference on Learning Representations, 2021

Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Unsupervised Disentanglement of Linear-Encoded Facial Semantics.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

"BNN - BN = ?": Training Binary Neural Networks Without Batch Normalization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Object Detection from Scratch with Deep Supervision.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

NCMS: Towards accurate anchor free object detection through ℓ2 norm calibration and multi-feature selection.
Comput. Vis. Image Underst., 2020

OpenFSI: A highly efficient and portable fluid-structure simulation package based on immersed-boundary method.
Comput. Phys. Commun., 2020

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks.
CoRR, 2020

Channel-wise Alignment for Adaptive Object Detection.
CoRR, 2020

Cross-Supervised Object Detection.
CoRR, 2020

Joint Multi-Dimension Pruning.
CoRR, 2020

Rethinking Image Mixture for Unsupervised Visual Representation Learning.
CoRR, 2020

MoBiNet: A Mobile Binary Network for Image Classification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Solving Missing-Annotation Object Detection with Background Recalibration Loss.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Attentive Cutmix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Soft Anchor-Point Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Online Ensemble Model Compression Using Knowledge Distillation.
Proceedings of the Computer Vision - ECCV 2020, 2020

ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions.
Proceedings of the Computer Vision - ECCV 2020, 2020

Binarizing MobileNet via Evolution-Based Searching.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses.
CoRR, 2019

Transferable Recognition-Aware Image Processing.
CoRR, 2019

Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement.
CoRR, 2019

Transfer Learning for Sequences via Learning to Collocate.
Proceedings of the 7th International Conference on Learning Representations, 2019

Towards Instance-Level Image-To-Image Translation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Improving Object Detection from Scratch via Gated Feature Reuse.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

Landslide Detection Leveraging Spectral-Spatial Correlation Fusion in Aerospace Remote Sensing.
Proceedings of the 5th International Conference on Big Data Computing and Communications, 2019

MEAL: Multi-Model Ensemble via Adversarial Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection.
CoRR, 2018

A Hybrid 3D Descriptor With Global Structural Frames and Local Signatures of Histograms.
IEEE Access, 2018

Hybrid 3D Surface Description with Global Frames and Local Signatures of Histograms.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

TS ^2 2 C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Symmetric difference operators on fuzzy sets.
Fuzzy Sets Syst., 2017

Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids.
CoRR, 2017

Iterative object and part transfer for fine-grained recognition.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

DSOD: Learning Deeply Supervised Object Detectors from Scratch.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning Efficient Convolutional Networks through Network Slimming.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Weakly Supervised Dense Video Captioning.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015
Multiple Granularity Descriptors for Fine-Grained Categorization.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
A note on the continuity of triangular norms.
Fuzzy Sets Syst., 2014

Do More Dropouts in Pool5 Feature Maps for Better Object Detection.
CoRR, 2014


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