Search Results for author: Kangning Liu

Found 6 papers, 5 papers with code

Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution

1 code implementation3 Nov 2021 Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi Schambra, Carlos Fernandez-Granda

To address this, we propose a novel approach for high-resolution action identification, inspired by speech-recognition techniques, which is based on a sequence-to-sequence model that directly predicts the sequence of actions.

Action Recognition speech-recognition +1

Adaptive Early-Learning Correction for Segmentation from Noisy Annotations

2 code implementations CVPR 2022 Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, Carlos Fernandez-Granda

We discover a phenomenon that has been previously reported in the context of classification: the networks tend to first fit the clean pixel-level labels during an "early-learning" phase, before eventually memorizing the false annotations.

Classification Medical Image Segmentation +2

Cramér-Rao bound-informed training of neural networks for quantitative MRI

1 code implementation22 Sep 2021 Xiaoxia Zhang, Quentin Duchemin, Kangning Liu, Sebastian Flassbeck, Cem Gultekin, Carlos Fernandez-Granda, Jakob Assländer

We find, however, that in heterogeneous parameter spaces, i. e. in spaces in which the variance of the estimated parameters varies considerably, good performance is hard to achieve and requires arduous tweaking of the loss function, hyper parameters, and the distribution of the training data in parameter space.

Magnetic Resonance Fingerprinting

Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis

1 code implementation13 Jun 2021 Kangning Liu, Yiqiu Shen, Nan Wu, Jakub Chłędowski, Carlos Fernandez-Granda, Krzysztof J. Geras

In cancer diagnosis, interpretability can be achieved by localizing the region of the input image responsible for the output, i. e. the location of a lesion.

Medical Diagnosis Weakly supervised segmentation

Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning

no code implementations14 Apr 2020 Kangning Liu, Shuhang Gu, Andres Romero, Radu Timofte

Existing unsupervised video-to-video translation methods fail to produce translated videos which are frame-wise realistic, semantic information preserving and video-level consistent.

Self-Supervised Learning Translation

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