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09/13/2023
Dynamic Causal Disentanglement Model for Dialogue Emotion Detection
Emotion detection is a critical technology extensively employed in diver...
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03/24/2023
Category Query Learning for Human-Object Interaction Classification
Unlike most previous HOI methods that focus on learning better human-obj...
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06/04/2021
SOLQ: Segmenting Objects by Learning Queries
In this paper, we propose an end-to-end framework for instance segmentat...
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05/07/2021
MOTR: End-to-End Multiple-Object Tracking with TRansformer
The key challenge in multiple-object tracking (MOT) task is temporal mod...
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03/22/2021
Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales
This paper introduces a new fundamental characteristic, , the dynamic ra...
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03/08/2021
End-to-End Human Object Interaction Detection with HOI Transformer
We propose HOI Transformer to tackle human object interaction (HOI) dete...
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08/04/2020
Spherical Feature Transform for Deep Metric Learning
Data augmentation in feature space is effective to increase data diversi...
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08/04/2020
Prime-Aware Adaptive Distillation
Knowledge distillation(KD) aims to improve the performance of a student ...
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05/18/2020
Joint Multi-Dimension Pruning
We present joint multi-dimension pruning (named as JointPruning), a new ...
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04/28/2020
Angle-based Search Space Shrinking for Neural Architecture Search
In this work, we present a simple and general search space shrinking met...
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03/25/2020
Data Uncertainty Learning in Face Recognition
Modeling data uncertainty is important for noisy images, but seldom expl...
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03/23/2020
Balanced Alignment for Face Recognition: A Joint Learning Approach
Face alignment is crucial for face recognition and has been widely adopt...
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02/25/2020
Circle Loss: A Unified Perspective of Pair Similarity Optimization
This paper provides a pair similarity optimization viewpoint on deep fea...
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01/19/2020
Towards Stabilizing Batch Statistics in Backward Propagation of Batch Normalization
Batch Normalization (BN) is one of the most widely used techniques in De...
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10/09/2019
Vehicle Re-identification with Viewpoint-aware Metric Learning
This paper considers vehicle re-identification (re-ID) problem. The extr...
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04/11/2019
3D Dense Face Alignment via Graph Convolution Networks
Recently, 3D face reconstruction and face alignment tasks are gradually ...
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04/06/2019
Re-Identification Supervised Texture Generation
The estimation of 3D human body pose and shape from a single image has b...
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03/31/2019
Single Path One-Shot Neural Architecture Search with Uniform Sampling
One-shot method is a powerful Neural Architecture Search (NAS) framework...
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01/01/2019
Rethinking on Multi-Stage Networks for Human Pose Estimation
Existing pose estimation approaches can be categorized into single-stage...
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04/17/2018
Simple Baselines for Human Pose Estimation and Tracking
There has been significant progress on pose estimation and increasing in...
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04/16/2018
Towards High Performance Video Object Detection for Mobiles
Despite the recent success of video object detection on Desktop GPUs, it...
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03/19/2018
Learning Region Features for Object Detection
While most steps in the modern object detection methods are learnable, t...
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03/15/2018
Pseudo Mask Augmented Object Detection
In this work, we present a novel and effective framework to facilitate o...
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11/30/2017
Towards High Performance Video Object Detection
There has been significant progresses for image object detection in rece...
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11/30/2017
Relation Networks for Object Detection
Although it is well believed for years that modeling relations between o...
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11/22/2017
Integral Human Pose Regression
State-of-the-art human pose estimation methods are dominated by complex ...
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04/08/2017
Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach
In this paper, we study the task of 3D human pose estimation in the wild...
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04/01/2017
Compositional Human Pose Regression
Regression based methods are not performing as well as detection based m...
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03/29/2017
Flow-Guided Feature Aggregation for Video Object Detection
Extending state-of-the-art object detectors from image to video is chall...
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03/17/2017
Deformable Convolutional Networks
Convolutional neural networks (CNNs) are inherently limited to model geo...
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11/23/2016
Deep Feature Flow for Video Recognition
Deep convolutional neutral networks have achieved great success on image...
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11/23/2016
Fully Convolutional Instance-aware Semantic Segmentation
We present the first fully convolutional end-to-end solution for instanc...
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09/17/2016
Deep Kinematic Pose Regression
Learning articulated object pose is inherently difficult because the pos...
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07/05/2016
Attribute Recognition from Adaptive Parts
Previous part-based attribute recognition approaches perform part detect...
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06/22/2016
