research
∙
09/12/2023
GA-Sketching: Shape Modeling from Multi-View Sketching with Geometry-Aligned Deep Implicit Functions
Sketch-based shape modeling aims to bridge the gap between 2D drawing an...
share
research
∙
08/15/2023
Inversion-by-Inversion: Exemplar-based Sketch-to-Photo Synthesis via Stochastic Differential Equations without Training
Exemplar-based sketch-to-photo synthesis allows users to generate photo-...
research
∙
08/03/2023
LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment
3D panoptic segmentation is a challenging perception task that requires ...
research
∙
06/21/2023
Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms
In stochastic zeroth-order optimization, a problem of practical relevanc...
research
∙
04/08/2023
Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decoder
The sequence-to-sequence (seq2seq) task aims at generating the target se...
research
∙
02/16/2023
Product Question Answering in E-Commerce: A Survey
Product question answering (PQA), aiming to automatically provide instan...
research
∙
11/28/2022
Ising Model on Locally Tree-like Graphs: Uniqueness of Solutions to Cavity Equations
In the study of Ising models on large locally tree-like graphs, in both ...
research
∙
11/21/2022
Slow Motion Matters: A Slow Motion Enhanced Network for Weakly Supervised Temporal Action Localization
Weakly supervised temporal action localization (WTAL) aims to localize a...
research
∙
08/14/2022
SketchSampler: Sketch-based 3D Reconstruction via View-dependent Depth Sampling
Reconstructing a 3D shape based on a single sketch image is challenging ...
research
∙
07/17/2022
A Simple Test-Time Method for Out-of-Distribution Detection
Neural networks are known to produce over-confident predictions on input...
research
∙
04/29/2022
Gating-adapted Wavelet Multiresolution Analysis for Exposure Sequence Modeling in CTR prediction
The exposure sequence is being actively studied for user interest modeli...
research
∙
03/23/2022
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks
Traditionally, a debate usually requires a manual preparation process, i...
research
∙
01/17/2022
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework
We propose a general Variational Embedding Learning Framework (VELF) for...
research
∙
11/29/2021
Action based Network for Conversation Question Reformulation
Conversation question answering requires the ability to interpret a ques...
research
∙
09/29/2021
LightSecAgg: Rethinking Secure Aggregation in Federated Learning
Secure model aggregation is a key component of federated learning (FL) t...
research
∙
07/05/2021
Feature Cross Search via Submodular Optimization
In this paper, we study feature cross search as a fundamental primitive ...
research
∙
11/10/2020
Human-centric Spatio-Temporal Video Grounding With Visual Transformers
In this work, we introduce a novel task - Humancentric Spatio-Temporal V...
research
∙
06/17/2020
3D Shape Reconstruction from Free-Hand Sketches
Sketches are the most abstract 2D representations of real-world objects....
research
∙
01/15/2020
Entangled Polynomial Codes for Secure, Private, and Batch Distributed Matrix Multiplication: Breaking the ”Cubic” Barrier
In distributed matrix multiplication, a common scenario is to assign eac...
research
∙
11/05/2019
Review-based Question Generation with Adaptive Instance Transfer and Augmentation
Online reviews provide rich information about products and service, whil...
research
∙
10/24/2019
Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition
We study the problem of switching-constrained online convex optimization...
research
∙
10/14/2019
Building Information Modeling and Classification by Visual Learning At A City Scale
In this paper, we provide two case studies to demonstrate how artificial...
research
∙
09/18/2019
An Unpaired Sketch-to-Photo Translation Model
Sketch-based image synthesis aims to generate a photo image given a sket...
research
∙
04/30/2019
Harmonic Coding: An Optimal Linear Code for Privacy-Preserving Gradient-Type Computation
We consider the problem of distributedly computing a general class of fu...
research
∙
01/21/2019
Network Transplanting (extended abstract)
This paper focuses on a new task, i.e., transplanting a category-and-tas...
research
∙
08/07/2018
SketchyScene: Richly-Annotated Scene Sketches
We contribute the first large-scale dataset of scene sketches, SketchySc...
research
∙
06/04/2018
Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy
We consider a distributed computing scenario that involves computations ...
research
∙
05/24/2018
Polynomially Coded Regression: Optimal Straggler Mitigation via Data Encoding
We consider the problem of training a least-squares regression model on ...
research
∙
04/27/2018
Crossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images
Due to the irregular motion, similar appearance and diverse shape, accur...
research
∙
04/23/2018
Guided Attention for Large Scale Scene Text Verification
Many tasks are related to determining if a particular text string exists...
research
∙
01/23/2018
Straggler Mitigation in Distributed Matrix Multiplication: Fundamental Limits and Optimal Coding
We consider the problem of massive matrix multiplication, which underlie...
research
∙
11/22/2017
The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching
Many vision problems require matching images of object instances across ...
research
∙
10/17/2017
Coded Fourier Transform
We consider the problem of computing the Fourier transform of high-dimen...
research
∙
12/17/2015
Large Scale Business Discovery from Street Level Imagery
Search with local intent is becoming increasingly useful due to the popu...
research
∙
01/30/2015
Sketch-a-Net that Beats Humans
We propose a multi-scale multi-channel deep neural network framework tha...
research
∙
02/16/2013