A Joint Sequence Fusion Model for Video Question Answering and Retrieval (Youngjae Yu, Jongseok Kim and Gunhee Kim) #김건희 교수팀
Linear RGB-D SLAM for Planar Environments (Pyojin Kim, Brian Coltin, and H. Jin Kim) #김현진 교수팀

Broadcasting Convolutional Network for Visual Relational Reasoning (Simyung Chang, John Yang, Seonguk Park, Nojun Kwak) #곽노준 교수팀

Motion Feature Network: Fixed Motion Filter for Action Recognition (Myunggi Lee, Seung Eui Lee, Sung Joon Son, Gyutae Park, Nojun Kwak) #곽노준 교수팀

Unsupervised Holistic Image Generation from Key Local Patches (Donghoon Lee, Sangdoo Yun, Sungjoon Choi, Hwiyeon Yoo, Ming-Hsuan Yang, Songhwai Oh) #오성회 교수팀

Value-aware Quantization for Training and Inference of Neural Networks (Eunhyeok Park, Sungjoo Yoo, Peter Vajda) #유승주 교수팀

Part-Aligned Bilinear Representations for Person Re-Identification (Yumin Suh, Jingdong Wang, Siyu Tang, Tao Mei, Kyoung Mu Lee) #이경무 교수팀

Joint Blind Motion Deblurring and Depth Estimation of Light Field (Dongwoo Lee, Haesol Park, In Kyu Park, Kyoung Mu Lee) #이경무 교수팀

Clustering Convolutional Kernels to Compress Deep Neural Networks (Sanghyun Son, Seungjun Nah, Kyoung Mu Lee) #이경무 교수팀

Task-Aware Image Downscaling (Heewon Kim, Myungsub Choi, Bee Lim, Kyoung Mu Lee) #이경무 교수팀

Multimodal dual attention memory for video story question answering (Kyung-Min Kim, Seong-Ho Choi, Jin-Hwa Kim, Byung-Tak Zhang) #장병탁 교수팀

Real-Time MDNet (Ilchae Jung, Jeany Son, Mooyeol Baek, Bohyung Han) #한보형 교수팀

CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps (Paul Hongsuck Seo, Tobias Weyand, Jack Sim, Bohyung Han) #한보형 교수팀

Attentive Semantic Alignment with Offset-Aware Correlation Kernels (Paul Hongsuck Seo, Jongmin Lee, Deunsol Jung, Bohyung Han, Minsu Cho) #한보형 교수팀

Temporal attention mechanism with conditional inference for large-scale multi-label video classification (Eun-Sol Kim, Kyoung-Woon On, Jongseok Kim, Yu-Jung Heo, Seong-Ho Choi, Hyun-Dong Lee and Byoung-Tak Zhang) #장병탁 교수팀

Bilinear attention networks for VizWiz challenge (Jin-Hwa Kim, Yongseok Choi, Sungeun Hong, Jaehyun Jun, and Byoung-Tak Zhang) #장병탁 교수팀

Contextualized bilinear attention networks (Gi-Cheon Kang, Seonil Son, Byoung-Tak Zhang) #장병탁 교수팀

Video Prediction with Appearance and Motion Conditions (Yunseok Jang, Gunhee Kim and Yale Song) #김건희 교수팀

Efficient end-to-end learning for quantizable representations (Yeonwoo Jeong, Hyun Oh Song) #송현오 교수팀

K-Beam Subgradient Descent for Minimax Optimization (Jihun Hamm, Yung-Kyun Noh)

Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors (Junhyug Noh, Soochan Lee, Beomsu Kim and Gunhee Kim) #김건희 교수팀

A Memory Network Approach for Story-based Temporal Summarization of 360° Videos (Sangho Lee, Jinyoung Sung, Youngjae Yu and Gunhee Kim) #김건희 교수팀

Image Restoration by Estimating Frequency Distribution of Local Patches (Jaeyoung Yoo, Sangho Lee and Nojun Kwak) #곽노준 교수팀

Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams (Daesik Kim, Youngjoon Yoo, Jeesoo Kim, Sangkuk Lee and Nojun Kwak) #곽노준 교수팀

NestedNet: Learning Nested Sparse Structures in Deep Neural Networks (Eunwoo Kim, Chanho Ahn, Songhwai Oh) #오성회 교수팀

SeedNet: Automatic Seed Generation With Deep Reinforcement Learning for Robust Interactive Segmentation (Gwangmo Song, Heesoo Myeong, Kyoung Mu Lee) #이경무 교수팀

V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation From a Single Depth Map (Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee) #이경무 교수팀

Weakly Supervised Action Localization by Sparse Temporal Pooling Network (Phuc Nguyen, Ting Liu, Gautam Prasad, Bohyung Han) #한보형 교수팀

System-wide Time vs. Density Tradeoff in Real-Time Multicore Fluid Scheduling (Kang-Wook Kim, Youngeun Cho, Jeongyoon Eo, Chang-Gun Lee, Junghee Han) #이창건 교수팀

BreathRNNet: Breathing Based Authentication on Resource-Constrained IoT Devices using RNNs (Jagmohan Chauhan, Suranga Seneviratne, Yining Hu, Archan Misra, Aruna Seneviratne, Youngki Lee) #이영기 교수팀

A Hierarchical Latent Structure for Variational Conversation Modeling (Yookoon Park, Jaemin Cho and Gunhee Kim) #김건희 교수팀

GLAC Net: GLocal attention cascading networks for multi-image cued story generation (Taehyeong Kim, Min-Oh Heo, Seonil Son, Kyoung-Wha Park , Byoung-Tak Zhang) #장병탁 교수팀

Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks (Youngjin Kim, Minjung Kim, and Gunhee Kim) #김건희 교수팀

PegasusN: A Scalable and Versatile Graph Mining System (Ha-Myung Park, Chiwan Park, and U Kang) #강유 교수팀

A Deep Ranking Model for Spatio-Temporal Highlight Detection from a 360° Video (Youngjae Yu, Sangho Lee, Joonil Na, Jaeyun Kang, Gunhee Kim) #김건희 교수팀

Quantized Memory-Augmented Neural Networks (Seongsik Park , Seijoon Kim , Seil Lee , Ho Bae, Sungroh Yoon) #윤성로 교수팀

Learning to Compose Task-Specific Tree Structures (Jihun Choi, Kang Min Yoo, Sang-goo Lee) #이상구 교수팀

Adaptive Static Analysis via Learning with Bayesian Optimization (Kihong Heo, Hakjoo Oh, Hongseok Yang, Kwangkeun Yi) #이광근 교수팀

Optimal Bayesian Minimax Rates for Unconstrained Large Covariance Matrices (Kyoungjae Lee and Jaeyong Lee) #이재용 교수팀

Joint Optimization of Speed, Accuracy, and Energy for Embedded Image Recognition Systems (Duseok Kang, Jintaek Kang, Donghyun Kang, Sungjoo Yoo, Soonhoi Ha) #하순회 교수팀

Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range (Jun-gi Jang, Dongjin Choi, Jinhong Jung, and U Kang) #강유 교수팀

Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries (Sejoon Oh, Namyong Park, Lee Sael, and U Kang) #강유 교수팀

TPA: Fast, Scalable, and Accurate Method for Approximate Random Walk with Restart on Billion Scale Graphs (Minji Yoon, Jinhong Jung, and U Kang) #강유 교수팀

Improving the Expressiveness of Deep Learning Frameworks with Recursion (Eunji Jeong, Joo Seong Jeong , Soojeong Kim, Gyeong-In Yu, Byung-Gon Chun) #전병곤 교수팀