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Found 13 papers, 3 papers with code
SocialLight: Distributed Cooperation Learning towards Network-Wide Traffic Signal Control
To address these problems, we propose a new MARL method for traffic signal control, SocialLight, which learns cooperative traffic control policies by distributedly estimating the individual marginal contribution of agents on their local neighborhood.
Toward Multi-Granularity Decision-Making: Explicit Visual Reasoning with Hierarchical Knowledge
Answering visual questions requires the ability to parse visual observations and correlate them with a variety of knowledge.
Simulation of snakes using vertical body bending to traverse terrain with large height variation
Remarkably, even when frictional drag is low (snake-terrain kinetic friction coefficient of 0. 20), the body must push against the wedge with a pressure 5 times that from body weight to generate sufficient forward propulsion to move forward.
Query and Attention Augmentation for Knowledge-Based Explainable Reasoning
Explainable visual question answering (VQA) models have been developed with neural modules and query-based knowledge incorporation to answer knowledge-requiring questions.
Two-stream Convolutional Networks for Multi-frame Face Anti-spoofing
Face anti-spoofing is an important task to protect the security of face recognition.
Explicit Knowledge Incorporation for Visual Reasoning
Existing explainable and explicit visual reasoning methods only perform reasoning based on visual evidence but do not take into account knowledge beyond what is in the visual scene.
Gelfand $W$-graphs for classical Weyl groups
For types BC and D, we prove that these $W$-graphs are dual to each other, a phenomenon which does not occur in type A.
Representation Theory Combinatorics
Saliency Prediction with External Knowledge
At the core of the method is a new Graph Semantic Saliency Network (GraSSNet) that constructs a graph that encodes semantic relationships learned from external knowledge.
DA-LSTM: A Long Short-Term Memory with Depth Adaptive to Non-uniform Information Flow in Sequential Data
In this paper, we develop a Depth-Adaptive Long Short-Term Memory (DA-LSTM) architecture, which can dynamically adjust the structure depending on information distribution without prior knowledge.
Affine transitions for involution Stanley symmetric functions
We study a family of symmetric functions $\hat F_z$ indexed by involutions $z$ in the affine symmetric group.
Combinatorics Representation Theory
Multi-granularity Generator for Temporal Action Proposal
In this paper, we propose a multi-granularity generator (MGG) to perform the temporal action proposal from different granularity perspectives, relying on the video visual features equipped with the position embedding information.
Ranked #2 on
Action Recognition
on THUMOS’14
Representation Learning of Pedestrian Trajectories Using Actor-Critic Sequence-to-Sequence Autoencoder
Representation learning of pedestrian trajectories transforms variable-length timestamp-coordinate tuples of a trajectory into a fixed-length vector representation that summarizes spatiotemporal characteristics.
An Attention-Based Approach for Single Image Super Resolution
We propose an attention-based approach to give a discrimination between texture areas and smooth areas.
