StarNet: towards weakly supervised few-shot detection and explainable few-shot classification
Published in AAAI21, 2021
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Publications
ISP Distillation
Published in Arxiv, 2021
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Fine-grained Angular Contrastive Learning with Coarse Labels
Published in CVPR 2021, 2020
Oral
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MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification
Published in CVPR (Workshop), 2020
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UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks
Published in ACM Transactions on Computer Systems (TOCS), 2020
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Beholder-GAN: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level
Published in IEEE International Conference on Image Processing (ICIP), 2019
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RepMet: Representative-based metric learning for classification and one-shot object detection
Published in IEEE Conference on Computer Vision and Pattern Recognition, 2019
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Baby steps towards few-shot learning with multiple semantics
Published in CVPR (Workshop), 2019
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Delta-encoder: an effective sample synthesis method for few-shot object recognition
Published in Advances in Neural Information Processing Systems, 2018
Spotlight (3% acceptance rate)
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NICE: Noise Injection and Clamping Estimation for Neural Network Quantization
Published in Arxiv, 2018
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DeepISP: Learning End-to-End Image Processing Pipeline
Published in IEEE Transactions on Image Processing, 2018
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