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1st Place Solution to VisDA-2020: Bias Elimination for Domain Adaptive Pedestrian Re-identification
This paper presents our proposed methods for domain adaptive pedestrian ...
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AsymptoticNG: A regularized natural gradient optimization algorithm with look-ahead strategy
Optimizers that further adjust the scale of gradient, such as Adam, Natu...
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Blurring Fools the Network – Adversarial Attacks by Feature Peak Suppression and Gaussian Blurring
Existing pixel-level adversarial attacks on neural networks may be defic...
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Amplifying the Anterior-Posterior Difference via Data Enhancement – A More Robust Deep Monocular Orientation Estimation Solution
Existing deep-learning based monocular orientation estimation algorithms...
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Exploiting Vulnerability of Pooling in Convolutional Neural Networks by Strict Layer-Output Manipulation for Adversarial Attacks
Convolutional neural networks (CNN) have been more and more applied in m...
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AU-Guided Unsupervised Domain Adaptive Facial Expression Recognition
The domain diversities including inconsistent annotation and varied imag...
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An Event Correlation Filtering Method for Fake News Detection
Nowadays, social network platforms have been the prime source for people...
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SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition
Sparse Tucker Decomposition (STD) algorithms learn a core tensor and a g...
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Hierarchical Semantic Aggregation for Contrastive Representation Learning
Self-supervised learning based on instance discrimination has shown rema...
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Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations
Contrastive learning has achieved great success in self-supervised visua...
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ULSD: Unified Line Segment Detection across Pinhole, Fisheye, and Spherical Cameras
Line segment detection is essential for high-level tasks in computer vis...
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Center-wise Local Image Mixture For Contrastive Representation Learning
Recent advances in unsupervised representation learning have experienced...
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Data Augmentation for End-to-end Code-switching Speech Recognition
Training a code-switching end-to-end automatic speech recognition (ASR) ...
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DeviceTTS: A Small-Footprint, Fast, Stable Network for On-Device Text-to-Speech
With the number of smart devices increasing, the demand for on-device te...
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Speakerfilter-Pro: an improved target speaker extractor combines the time domain and frequency domain
This paper introduces an improved target speaker extractor, referred to ...
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Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation
We propose a general framework for searching surrogate losses for mainst...
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Domain Agnostic Learning for Unbiased Authentication
Authentication is the task of confirming the matching relationship betwe...
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Position-Aware Tagging for Aspect Sentiment Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) is the task of extracting the...
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Dynamic Facial Asset and Rig Generation from a Single Scan
The creation of high-fidelity computer-generated (CG) characters used in...
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Efficient Kernel Transfer in Knowledge Distillation
Knowledge distillation is an effective way for model compression in deep...
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AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
This paper introduces the real image Super-Resolution (SR) challenge tha...
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Semi-Anchored Detector for One-Stage Object Detection
A standard one-stage detector is comprised of two tasks: classification ...
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Hybrid Differentially Private Federated Learning on Vertically Partitioned Data
We present HDP-VFL, the first hybrid differentially private (DP) framewo...
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A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations
Privacy-preserving recommendations are recently gaining momentum, since ...
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Modular End-to-end Automatic Speech Recognition Framework for Acoustic-to-word Model
End-to-end (E2E) systems have played a more and more important role in a...
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Monocular Real-Time Volumetric Performance Capture
We present the first approach to volumetric performance capture and nove...
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Posterior Consistency of Semi-Supervised Regression on Graphs
Graph-based semi-supervised regression (SSR) is the problem of estimatin...
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Efficient Graph-Based Active Learning with Probit Likelihood via Gaussian Approximations
We present a novel adaptation of active learning to graph-based semi-sup...
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Revisiting the Continuity of Rotation Representations in Neural Networks
In this paper, we provide some careful analysis of certain pathological ...
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Why is Attention Not So Attentive?
Attention-based methods have played an important role in model interpret...
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Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels
Learning latent representations of registered meshes is useful for many ...
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Generative Tweening: Long-term Inbetweening of 3D Human Motions
The ability to generate complex and realistic human body animations at s...
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One-Shot Identity-Preserving Portrait Reenactment
We present a deep learning-based framework for portrait reenactment from...
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Multi-Domain Learning and Identity Mining for Vehicle Re-Identification
This paper introduces our solution for the Track2 in AI City Challenge 2...
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Lightweight Mask R-CNN for Long-Range Wireless Power Transfer Systems
Resonant Beam Charging (RBC) is a wireless charging technology which sup...
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Intuitive, Interactive Beard and Hair Synthesis with Generative Models
We present an interactive approach to synthesizing realistic variations ...
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ARCH: Animatable Reconstruction of Clothed Humans
In this paper, we propose ARCH (Animatable Reconstruction of Clothed Hum...
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CSRN: Collaborative Sequential Recommendation Networks for News Retrieval
Nowadays, news apps have taken over the popularity of paper-based media,...
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Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition
Collecting fine-grained labels usually requires expert-level domain know...
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Learning Formation of Physically-Based Face Attributes
Based on a combined data set of 4000 high resolution facial scans, we in...
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Oriented Objects as pairs of Middle Lines
The detection of oriented objects is frequently appeared in the field of...
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So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification
Access to labeled reference data is one of the grand challenges in super...
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Hierarchically Robust Representation Learning
With the tremendous success of deep learning in visual tasks, the repres...
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Learning to Infer Implicit Surfaces without 3D Supervision
Recent advances in 3D deep learning have shown that it is possible to tr...
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Reciprocal Collision Avoidance for General Nonlinear Agents using Reinforcement Learning
Finding feasible and collision-free paths for multiple nonlinear agents ...
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Learning Explicit and Implicit Structures for Targeted Sentiment Analysis
Targeted sentiment analysis is the task of jointly predicting target ent...
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SoftTriple Loss: Deep Metric Learning Without Triplet Sampling
Distance metric learning (DML) is to learn the embeddings where examples...
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Improved Techniques for Training Adaptive Deep Networks
Adaptive inference is a promising technique to improve the computational...
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Reinforced Dynamic Reasoning for Conversational Question Generation
This paper investigates a new task named Conversational Question Generat...
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DR Loss: Improving Object Detection by Distributional Ranking
Most of object detection algorithms can be categorized into two classes:...
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