Papers
ZoomNet: Deep Aggregation Learning for High-Performance Small Pedestrian Detection
Chong Shang, Haizhou Ai, Zijie Zhuang et al.
Z-Transforms and its Inference on Partially Observable Point Processes
Young Lee, Thanh Vinh Vo, Kar Wai Lim et al.
µTune: Auto-Tuned Threading for OLDI Microservices
Akshitha Sriraman, Thomas F. Wenisch
2016 BUT Babel System: Multilingual BLSTM Acoustic Model with i-Vector Based Adaptation
Martin Karafiát, Murali Karthick Baskar, Pavel Matějka et al.
3D Bounding Box Estimation Using Deep Learning and Geometry
Arsalan Mousavian, Dragomir Anguelov, John Flynn et al.
3D Convolutional Neural Networks for Efficient and Robust Hand Pose Estimation From Single Depth Images
Liuhao Ge, Hui Liang, Junsong Yuan et al.
3D Face Morphable Models "In-The-Wild"
James Booth, Epameinondas Antonakos, Stylianos Ploumpis et al.
3D Human Pose Estimation = 2D Pose Estimation + Matching
Ching-Hang Chen, Deva Ramanan
3D Human Pose Estimation From a Single Image via Distance Matrix Regression
Francesc Moreno-Noguer
3DMatch: Learning Local Geometric Descriptors From RGB-D Reconstructions
Andy Zeng, Shuran Song, Matthias Niessner et al.
3D Menagerie: Modeling the 3D Shape and Pose of Animals
Silvia Zuffi, Angjoo Kanazawa, David W. Jacobs et al.
3D Point Cloud Registration for Localization Using a Deep Neural Network Auto-Encoder
Gil Elbaz, Tamar Avraham, Anath Fischer
3D Shape Segmentation With Projective Convolutional Networks
Evangelos Kalogerakis, Melinos Averkiou, Subhransu Maji et al.
4D Light Field Superpixel and Segmentation
Hao Zhu, Qi Zhang, Qing Wang
A Bambara Tonalization System for Word Sense Disambiguation Using Differential Coding, Segmentation and Edit Operation Filtering
Luigi Yu-Cheng Liu, Damien Nouvel
A Batch Noise Contrastive Estimation Approach for Training Large Vocabulary Language Models
Youssef Oualil, Dietrich Klakow
A Bayesian Approach to Argument-Based Reasoning for Attack Estimation
Hiroyuki Kido, Keishi Okamoto
A Bayesian Data Augmentation Approach for Learning Deep Models
Toan Tran, Trung Pham, Gustavo Carneiro et al.
A Bayesian Framework for Learning Rule Sets for Interpretable Classification
Tong Wang, Cynthia Rudin, Finale Doshi-Velez et al.
A Bayesian Mixed-Effects Model to Learn Trajectories of Changes from Repeated Manifold-Valued Observations
Jean-Baptiste Schiratti, Stéphanie Allassonnière, Olivier Colliot et al.
A Birth-Death Process for Feature Allocation
Konstantina Palla, David Knowles, Zoubin Ghahramani
Abstractive Document Summarization with a Graph-Based Attentional Neural Model
Jiwei Tan, Xiaojun Wan, Jianguo Xiao
Abstractive Multi-document Summarization by Partial Tree Extraction, Recombination and Linearization
Litton J Kurisinkel, Yue Zhang, Vasudeva Varma
Abstract Meaning Representation Parsing using LSTM Recurrent Neural Networks
William Foland, James H. Martin
Abstract Syntax Networks for Code Generation and Semantic Parsing
Maxim Rabinovich, Mitchell Stern, Dan Klein