79 citations · 406 across the 47 of their papers we have counts for
8 papers · 1 filter
Neural Abstract Style Transfer for Chinese Traditional Painting
Bo Li, Caiming Xiong, Tianfu Wu +3
Chinese traditional painting is one of the most historical artworks in the world. It is very popular in Eastern and Southeast Asia due to being aesthetically appealing. Compared wi…
Learning Attraction Field Representation for Robust Line Segment Detection
Nan Xue, Song Bai, Fudong Wang +3
This paper presents a region-partition based attraction field dual representation for line segment maps, and thus poses the problem of line segment detection (LSD) as the region co…
Relational Long Short-Term Memory for Video Action Recognition
Zexi Chen, Bharathkumar Ramachandra, Tianfu Wu +1
Spatial and temporal relationships, both short-range and long-range, between objects in videos, are key cues for recognizing actions. It is a challenging problem to model them join…
Decision Level Fusion: An Event Driven Approach
Siddharth Roheda, Hamid Krim, Zhi-Quan Luo +1
This paper presents a technique that combines the occurrence of certain events, as observed by different sensors, in order to detect and classify objects. This technique explores t…
ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay
Sameera Lanka, Tianfu Wu
Experience replay is an important technique for addressing sample-inefficiency in deep reinforcement learning (RL), but faces difficulty in learning from binary and sparse rewards…
Auto-Context R-CNN
Bo Li, Tianfu Wu, Lun Zhang +1
Region-based convolutional neural networks (R-CNN)~\cite{fast_rcnn,faster_rcnn,mask_rcnn} have largely dominated object detection. Operators defined on RoIs (Region of Interests) p…
Building an Integrated Mobile Robotic System for Real-Time Applications in Construction
Khashayar Asadi, Hariharan Ramshankar, Harish Pullagurla +7
One of the major challenges of a real-time autonomous robotic system for construction monitoring is to simultaneously localize, map, and navigate over the lifetime of the robot, wi…
High Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks
Zeyuan Chen, Shaoliang Nie, Tianfu Wu +1
We present a deep learning approach for high resolution face completion with multiple controllable attributes (e.g., male and smiling) under arbitrary masks. Face completion entail…