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12/06/2022
GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds
Despite the tremendous progress of Masked Autoencoders (MAE) in developi...
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09/15/2022
PriorLane: A Prior Knowledge Enhanced Lane Detection Approach Based on Transformer
Lane detection is one of the fundamental modules in self-driving. In thi...
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08/17/2022
CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation
Micro-video recommender systems suffer from the ubiquitous noises in use...
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07/21/2022
Towards Efficient Adversarial Training on Vision Transformers
Vision Transformer (ViT), as a powerful alternative to Convolutional Neu...
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04/19/2022
Neural Collapse Inspired Attraction-Repulsion-Balanced Loss for Imbalanced Learning
Class imbalance distribution widely exists in real-world engineering. Ho...
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03/16/2022
WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection
Monocular 3D object detection is one of the most challenging tasks in 3D...
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02/21/2022
VLAD-VSA: Cross-Domain Face Presentation Attack Detection with Vocabulary Separation and Adaptation
For face presentation attack detection (PAD), most of the spoofing cues ...
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12/08/2021
SimulSLT: End-to-End Simultaneous Sign Language Translation
Sign language translation as a kind of technology with profound social s...
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09/26/2021
Why Do We Click: Visual Impression-aware News Recommendation
There is a soaring interest in the news recommendation research scenario...
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08/31/2021
SimulLR: Simultaneous Lip Reading Transducer with Attention-Guided Adaptive Memory
Lip reading, aiming to recognize spoken sentences according to the given...
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06/09/2021
Salient Object Ranking with Position-Preserved Attention
Instance segmentation can detect where the objects are in an image, but ...
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06/09/2021
Attacking Adversarial Attacks as A Defense
It is well known that adversarial attacks can fool deep neural networks ...
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04/29/2021
Discriminative-Generative Dual Memory Video Anomaly Detection
Recently, people tried to use a few anomalies for video anomaly detectio...
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04/13/2021
OCM3D: Object-Centric Monocular 3D Object Detection
Image-only and pseudo-LiDAR representations are commonly used for monocu...
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03/24/2021
X-view: Non-egocentric Multi-View 3D Object Detector
3D object detection algorithms for autonomous driving reason about 3D ob...
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03/10/2021
ES-Net: Erasing Salient Parts to Learn More in Re-Identification
As an instance-level recognition problem, re-identification (re-ID) requ...
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12/08/2020
LAMP: Label Augmented Multimodal Pretraining
Multi-modal representation learning by pretraining has become an increas...
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10/15/2020
Spherical Knowledge Distillation
Knowledge distillation aims at obtaining a small but effective deep mode...
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10/03/2020
Does Network Width Really Help Adversarial Robustness?
Adversarial training is currently the most powerful defense against adve...
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08/14/2020
Apparel-invariant Feature Learning for Apparel-changed Person Re-identification
With the rise of deep learning methods, person Re-Identification (ReID) ...
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07/30/2020
Stable Learning via Causality-based Feature Rectification
How to learn a stable model under agnostic distribution shift between tr...
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11/14/2019
PI-RCNN: An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module
LIDAR point clouds and RGB-images are both extremely essential for 3D ob...
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08/07/2019
Progressive Transfer Learning for Person Re-identification
Model fine-tuning is a widely used transfer learning approach in person ...
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07/24/2019
IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation
The remarkable progress of network embedding has led to state-of-the-art...
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07/23/2019
MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models
Machine Comprehension (MC) is one of the core problems in natural langua...
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07/23/2019
Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference
Natural Language Inference (NLI), also known as Recognizing Textual Enta...
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06/28/2019
Open-Ended Long-Form Video Question Answering via Hierarchical Convolutional Self-Attention Networks
Open-ended video question answering aims to automatically generate the n...
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06/25/2019
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning
Neural network compression empowers the effective yet unwieldy deep conv...
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03/01/2018
Deep Reinforcement Learning for Sponsored Search Real-time Bidding
Bidding optimization is one of the most critical problems in online adve...
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11/15/2017
Dialogue Act Recognition via CRF-Attentive Structured Network
Dialogue Act Recognition (DAR) is a challenging problem in dialogue inte...
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11/01/2017
Keyword-based Query Comprehending via Multiple Optimized-Demand Augmentation
In this paper, we consider the problem of machine reading task when the ...
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10/08/2017
Smarnet: Teaching Machines to Read and Comprehend Like Human
Machine Comprehension (MC) is a challenging task in Natural Language Pro...
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09/12/2017
Learning Graph-Level Representation for Drug Discovery
Predicating macroscopic influences of drugs on human body, like efficacy...
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07/28/2017
MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension
Machine comprehension(MC) style question answering is a representative p...
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07/24/2016
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction
Sparse support vector machine (SVM) is a popular classification techniqu...
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05/01/2014
