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02/11/2023
See Your Heart: Psychological states Interpretation through Visual Creations
In psychoanalysis, generating interpretations to one's psychological sta...
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01/16/2023
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination
Zero-shot human-AI coordination holds the promise of collaborating with ...
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01/05/2023
InsPro: Propagating Instance Query and Proposal for Online Video Instance Segmentation
Video instance segmentation (VIS) aims at segmenting and tracking object...
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12/02/2022
Learning Disentangled Label Representations for Multi-label Classification
Although various methods have been proposed for multi-label classificati...
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10/16/2022
DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models
Recent generative models show impressive results in photo-realistic imag...
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07/22/2022
QueryProp: Object Query Propagation for High-Performance Video Object Detection
Video object detection has been an important yet challenging topic in co...
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06/02/2022
RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning
In recent years, reinforcement learning has faced several challenges in ...
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06/01/2022
PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentation
This paper presents a unified framework for depth-aware panoptic segment...
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05/30/2022
Re-parameterizing Your Optimizers rather than Architectures
The well-designed structures in neural networks reflect the prior knowle...
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04/15/2022
SOTVerse: A User-defined Task Space of Single Object Tracking
Single object tracking (SOT) research falls into a cycle - trackers perf...
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03/02/2022
A Split Semantic Detection Algorithm for Psychological Sandplay Image
Psychological sandplay, as an important psychological analysis tool, is ...
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02/26/2022
Global Instance Tracking: Locating Target More Like Humans
Target tracking, the essential ability of the human visual system, has b...
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01/27/2022
DecisionHoldem: Safe Depth-Limited Solving With Diverse Opponents for Imperfect-Information Games
An imperfect-information game is a type of game with asymmetric informat...
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12/07/2021
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge
Multi-agent reinforcement learning (MARL) has received increasing attent...
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11/15/2021
AI in Games: Techniques, Challenges and Opportunities
With breakthrough of AlphaGo, AI in human-computer game has become a ver...
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09/13/2021
Spatial and Semantic Consistency Regularizations for Pedestrian Attribute Recognition
While recent studies on pedestrian attribute recognition have shown rema...
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07/08/2021
Rethinking of Pedestrian Attribute Recognition: A Reliable Evaluation under Zero-Shot Pedestrian Identity Setting
Pedestrian attribute recognition aims to assign multiple attributes to o...
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04/09/2021
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning
Model-based reinforcement learning (RL) is more sample efficient than mo...
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12/11/2020
OpenHoldem: An Open Toolkit for Large-Scale Imperfect-Information Game Research
Owning to the unremitting efforts by a few institutes, significant progr...
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09/28/2020
Learning Category- and Instance-Aware Pixel Embedding for Fast Panoptic Segmentation
Panoptic segmentation (PS) is a complex scene understanding task that re...
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05/25/2020
Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method
Despite various methods are proposed to make progress in pedestrian attr...
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12/18/2019
GlobalTrack: A Simple and Strong Baseline for Long-term Tracking
A key capability of a long-term tracker is to search for targets in very...
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09/10/2019
MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection
Universal lesion detection (ULD) on computed tomography (CT) images is a...
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09/04/2019
SSAP: Single-Shot Instance Segmentation With Affinity Pyramid
Recently, proposal-free instance segmentation has received increasing at...
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08/06/2019
Point Cloud Super Resolution with Adversarial Residual Graph Networks
Point cloud super-resolution is a fundamental problem for 3D reconstruct...
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04/16/2019
SparseMask: Differentiable Connectivity Learning for Dense Image Prediction
In this paper, we aim at automatically searching an efficient network ar...
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03/28/2019
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation
Modern approaches for semantic segmentation usually employ dilated convo...
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01/08/2019
3D Object Detection Using Scale Invariant and Feature Reweighting Networks
3D object detection plays an important role in a large number of real-wo...
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12/29/2018
EANet: Enhancing Alignment for Cross-Domain Person Re-identification
Person re-identification (ReID) has achieved significant improvement und...
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10/29/2018
GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild
In this work, we introduce a large high-diversity database for generic o...
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03/18/2018
Discriminative Learning of Latent Features for Zero-Shot Recognition
Zero-shot learning (ZSL) aims to recognize unseen image categories by le...
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03/15/2018
Fast End-to-End Trainable Guided Filter
Image processing and pixel-wise dense prediction have been advanced by h...
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02/27/2018
Mixed Supervised Object Detection with Robust Objectness Transfer
In this paper, we consider the problem of leveraging existing fully labe...
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01/08/2018
Deep Crisp Boundaries: From Boundaries to Higher-level Tasks
Edge detection has made significant progress with the help of deep Convo...
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10/18/2017
Learning Deep Context-aware Features over Body and Latent Parts for Person Re-identification
Person Re-identification (ReID) is to identify the same person across di...
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10/09/2017
MSC: A Dataset for Macro-Management in StarCraft II
Macro-management is an important problem in StarCraft, which has been st...
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09/14/2017
A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping
Image cropping aims at improving the aesthetic quality of images by adju...
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04/06/2017
Beyond triplet loss: a deep quadruplet network for person re-identification
Person re-identification (ReID) is an important task in wide area video ...
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03/21/2017
GP-GAN: Towards Realistic High-Resolution Image Blending
Recent advances in generative adversarial networks (GANs) have shown pro...
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11/29/2016
A Large-scale Distributed Video Parsing and Evaluation Platform
Visual surveillance systems have become one of the largest data sources ...
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11/17/2016
Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization
State-of-the-art methods treat pedestrian attribute recognition as a mul...
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04/18/2016
Deep Aesthetic Quality Assessment with Semantic Information
Human beings often assess the aesthetic quality of an image coupled with...
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03/23/2016
A Richly Annotated Dataset for Pedestrian Attribute Recognition
In this paper, we aim to improve the dataset foundation for pedestrian a...
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02/12/2015
An equalised global graphical model-based approach for multi-camera object tracking
Non-overlapping multi-camera visual object tracking typically consists o...
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10/26/2010