- bhkim
1.Deep Clustering for Improved Inter-cluster Separability and Intra-cluster Homogeneity with Cohesive Loss(IEICE 2021)
2.An adaptive spatial clustering algorithm based on Delaunay triangulation(Computers, Environment and Urban Systems 2011)
3.Deep Clustering with Convolutional Autoencoders(Neural Information Processing 2017)
- gtkim
1. Deep Complex Network (ICLR 2018)
2. Direct Speech-to-image translation (IEEE Journal of Selected Topics in Signal Processing)
3. Direct speech-to-speech translation with a sequence-to-sequence model (Interspeech 2019)
4. Mixup : Beyond Empirical Risk Minimization (ICLR 2018)
5. Cutmix : Regularization Strategy to Train Strong Classifiers with Localizable Features (ICCV 2019)
- njpark
1. adversarial examples are not bugs, they are features (NIPS 2019)
2. efficientnet: rethingking model scaling for convolutional neural networks (ICML 2019)
3. mask r-cnn (ICCV 2017)
4. linkage based face clustering via graph convolution network (CVPR 2019)
- bklee
1. Memory Efficient Hierarchical Neural Architecture Search for image denoising (CVPR2020)
2. D3D : Distilled 3D Networks for Video Action Recognition (WACV2020)
3. Deep seam carving (arxiv, 2020)
- chpark
1. Dual-path RNN: Efficient long sequence modeling for time-domain single-channel speech separation (ICASSP 2020)
2. Sound Event Detection and Time-Frequency Segmentation form Weakly Labelled Data (IEEE ACM transactions an audio, speech, and language processing 2019)
3. Attention-based atrous convolutional neural networks: Visualization and understanding perspective of acoustic scenes (ICASSP 2019)
4. Strip Pooling: Rethinking Spatial Pooling for Scene Parsing (CVPR 2020)
5. Sound Event Detection Using Point-Labeled Data (IEEE workshop on Applications of Signal Processing to Audio and Acoustics 2019)