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03/21/2023
3D-CLFusion: Fast Text-to-3D Rendering with Contrastive Latent Diffusion
We tackle the task of text-to-3D creation with pre-trained latent-based ...
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11/12/2022
3D-Aware Encoding for Style-based Neural Radiance Fields
We tackle the task of NeRF inversion for style-based neural radiance fie...
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03/16/2022
Domain Adaptive Hand Keypoint and Pixel Localization in the Wild
We aim to improve the performance of regressing hand keypoints and segme...
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11/25/2021
Cross-Domain Object Detection via Adaptive Self-Training
We tackle the problem of domain adaptation in object detection, where th...
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04/17/2021
Wide-Baseline Multi-Camera Calibration using Person Re-Identification
We address the problem of estimating the 3D pose of a network of cameras...
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10/21/2020
Semantics-Guided Representation Learning with Applications to Visual Synthesis
Learning interpretable and interpolatable latent representations has bee...
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10/02/2020
Semantics-Guided Clustering with Deep Progressive Learning for Semi-Supervised Person Re-identification
Person re-identification (re-ID) requires one to match images of the sam...
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06/02/2020
Transforming Multi-Concept Attention into Video Summarization
Video summarization is among challenging tasks in computer vision, which...
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06/02/2020
Transfoming Multi-Concept Attention into Video Summarization
Video summarization is among challenging tasks in computer vision, which...
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03/16/2020
Learning Shape Representations for Clothing Variations in Person Re-Identification
Person re-identification (re-ID) aims to recognize instances of the same...
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02/19/2020
Cross-Resolution Adversarial Dual Network for Person Re-Identification and Beyond
Person re-identification (re-ID) aims at matching images of the same per...
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09/20/2019
Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation
Person re-identification (re-ID) aims at recognizing the same person fro...
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08/16/2019
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification
Person re-identification (re-ID) aims at matching images of the same ide...
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07/25/2019
Learning Resolution-Invariant Deep Representations for Person Re-Identification
Person re-identification (re-ID) solves the task of matching images acro...
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02/20/2019
Dual-modality seq2seq network for audio-visual event localization
Audio-visual event localization requires one to identify theevent which ...
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05/05/2018
Deep Reinforcement Learning for Playing 2.5D Fighting Games
Deep reinforcement learning has shown its success in game playing. Howev...
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04/25/2018
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification
Person re-identification (Re-ID) aims at recognizing the same person fro...
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02/09/2018