Search Results for author:
Found 6 papers, 2 papers with code
RealFlow: EM-based Realistic Optical Flow Dataset Generation from Videos
Specifically, we first estimate optical flow between a pair of video frames, and then synthesize a new image from this pair based on the predicted flow.
Parallel ensemble methods for causal direction inference
Inferring the causal direction between two variables from their observation data is one of the most fundamental and challenging topics in data science.
Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network
One of recent trends [30, 31, 14] in network architec- ture design is stacking small filters (e. g., 1x1 or 3x3) in the entire network because the stacked small filters is more ef- ficient than a large kernel, given the same computational complexity.
Ranked #8 on
Semantic Segmentation
on PASCAL VOC 2012 val
Some Supplementaries to The Counting Semantics for Abstract Argumentation
Dung's abstract argumentation framework consists of a set of interacting arguments and a series of semantics for evaluating them.
Attacker and Defender Counting Approach for Abstract Argumentation
In this paper, we propose a counting approach for a more fine-gained assessment to arguments by counting the number of their respective attackers and defenders based on argument graph and argument game.
Argument Ranking with Categoriser Function
Recently, ranking-based semantics is proposed to rank-order arguments from the most acceptable to the weakest one(s), which provides a graded assessment to arguments.
