Papers
GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition
Hanqing Chao, Yiwei He, Junping Zhang et al.
Action Knowledge Transfer for Action Prediction with Partial Videos
Yijun Cai, Haoxin Li, Jian-Fang Hu et al.
MR-NET: Exploiting Mutual Relation for Visual Relationship Detection
Yi Bin, Yang Yang, Chaofan Tao et al.
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection
Hedi Ben-younes, Remi Cadene, Nicolas Thome et al.
Object Detection Based on Region Decomposition and Assembly
Seung-Hwan Bae
Densely Supervised Grasp Detector (DSGD)
Umar Asif, Jianbin Tang, Stefan Harrer
TallyQA: Answering Complex Counting Questions
Manoj Acharya, Kushal Kafle, Christopher Kanan
Probabilistic Model Checking of Robots Deployed in Extreme Environments
Xingyu Zhao, Valentin Robu, David Flynn et al.
That’s Mine! Learning Ownership Relations and Norms for Robots
Zhi-Xuan Tan, Jake Brawer, Brian Scassellati
Personalized Robot Tutoring Using the Assistive Tutor POMDP (AT-POMDP)
Aditi Ramachandran, Sarah Strohkorb Sebo, Brian Scassellati
Deictic Image Mapping: An Abstraction for Learning Pose Invariant Manipulation Policies
Robert Platt, Colin Kohler, Marcus Gualtieri
Visual Place Recognition via Robust ℓ2-Norm Distance Based Holism and Landmark Integration
Kai Liu, Hua Wang, Fei Han et al.
Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions
Hangxin Liu, Chi Zhang, Yixin Zhu et al.
Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience
Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez
MotionTransformer: Transferring Neural Inertial Tracking between Domains
Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu et al.
Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos
Vincent Casser, Soeren Pirk, Reza Mahjourian et al.
Optimizing Discount and Reputation Trade-Offs in E-Commerce Systems: Characterization and Online Learning
Hong Xie, Yongkun Li, John C. S. Lui
Counting and Sampling Markov Equivalent Directed Acyclic Graphs
Topi Talvitie, Mikko Koivisto
Lifted Hinge-Loss Markov Random Fields
Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi et al.
Compiling Bayesian Network Classifiers into Decision Graphs
Andy Shih, Arthur Choi, Adnan Darwiche
Structured Bayesian Networks: From Inference to Learning with Routes
Yujia Shen, Anchal Goyanka, Adnan Darwiche et al.
Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling
Thomy Phan, Lenz Belzner, Marie Kiermeier et al.
Semi-Parametric Sampling for Stochastic Bandits with Many Arms
Mingdong Ou, Nan Li, Cheng Yang et al.
Anytime Recursive Best-First Search for Bounding Marginal MAP
Radu Marinescu, Akihiro Kishimoto, Adi Botea et al.