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03/31/2022
Approximate Group Fairness for Clustering
We incorporate group fairness into the algorithmic centroid clustering p...
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09/24/2021
An Improved Frequent Directions Algorithm for Low-Rank Approximation via Block Krylov Iteration
Frequent Directions, as a deterministic matrix sketching technique, has ...
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08/23/2021
Effective Streaming Low-tubal-rank Tensor Approximation via Frequent Directions
Low-tubal-rank tensor approximation has been proposed to analyze large-s...
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07/09/2021
RGB Stream Is Enough for Temporal Action Detection
State-of-the-art temporal action detectors to date are based on two-stre...
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07/04/2021
Facility Location Games with Ordinal Preferences
We consider a new setting of facility location games with ordinal prefer...
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06/07/2021
Mechanism Design for Facility Location Problems: A Survey
The study of approximate mechanism design for facility location problems...
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05/31/2021
On maximizing a monotone k-submodular function under a knapsack constraint
We study the problem of maximizing a monotone k-submodular function f un...
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05/17/2021
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report
Video super-resolution has recently become one of the most important mob...
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03/23/2021
Multi-Robot Task Allocation – Complexity and Approximation
Multi-robot task allocation is one of the most fundamental classes of pr...
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03/03/2021
CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge
In this paper, we present CogNet, a knowledge base (KB) dedicated to int...
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11/26/2020
TinaFace: Strong but Simple Baseline for Face Detection
Face detection has received intensive attention in recent years. Many wo...
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10/19/2020
Mechanism Design for Facility Location Games with Candidate Locations
We study the facility location games with candidate locations from a mec...
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10/19/2020
Price of Fairness in Budget Division for Egalitarian Social Welfare
We study a participatory budgeting problem of aggregating the preference...
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11/27/2019
Favorite-Candidate Voting for Eliminating the Least Popular Candidate in Metric Spaces
We study single-candidate voting embedded in a metric space, where both ...
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08/30/2019
Multi-Grained Spatio-temporal Modeling for Lip-reading
Lip-reading aims to recognize speech content from videos via visual anal...
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10/16/2018
LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild
Large-scale datasets have successively proven their fundamental importan...
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06/21/2018