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09/11/2023
Temporal Action Localization with Enhanced Instant Discriminability
Temporal action detection (TAD) aims to detect all action boundaries and...
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06/05/2023
MotionTrack: Learning Motion Predictor for Multiple Object Tracking
Significant advancements have been made in multi-object tracking (MOT) w...
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06/01/2023
Intelligent Grimm – Open-ended Visual Storytelling via Latent Diffusion Models
Generative models have recently exhibited exceptional capabilities in va...
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05/22/2023
Bridging the Gap Between End-to-end and Non-End-to-end Multi-Object Tracking
Existing end-to-end Multi-Object Tracking (e2e-MOT) methods have not sur...
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04/03/2023
Zero-Shot Semantic Segmentation with Decoupled One-Pass Network
Recently, the zero-shot semantic segmentation problem has attracted incr...
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03/31/2023
Adaptive Sparse Pairwise Loss for Object Re-Identification
Object re-identification (ReID) aims to find instances with the same ide...
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03/13/2023
TriDet: Temporal Action Detection with Relative Boundary Modeling
In this paper, we present a one-stage framework TriDet for temporal acti...
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12/24/2022
DiP: Learning Discriminative Implicit Parts for Person Re-Identification
In person re-identification (ReID) tasks, many works explore the learnin...
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10/10/2022
Contrastive Video-Language Learning with Fine-grained Frame Sampling
Despite recent progress in video and language representation learning, t...
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08/29/2022
CounTR: Transformer-based Generalised Visual Counting
In this paper, we consider the problem of generalised visual object coun...
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05/26/2022
Cross-Architecture Self-supervised Video Representation Learning
In this paper, we present a new cross-architecture contrastive learning ...
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12/02/2021
InsCLR: Improving Instance Retrieval with Self-Supervision
This work aims at improving instance retrieval with self-supervision. We...
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08/17/2021
TOOD: Task-aligned One-stage Object Detection
One-stage object detection is commonly implemented by optimizing two sub...
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08/17/2021
Exploring Classification Equilibrium in Long-Tailed Object Detection
The conventional detectors tend to make imbalanced classification and su...
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07/09/2021
Mutually-aware Sub-Graphs Differentiable Architecture Search
Differentiable architecture search is prevalent in the field of NAS beca...
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01/11/2021
Unchain the Search Space with Hierarchical Differentiable Architecture Search
Differentiable architecture search (DAS) has made great progress in sear...
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11/19/2020
Watch and Learn: Mapping Language and Noisy Real-world Videos with Self-supervision
In this paper, we teach machines to understand visuals and natural langu...
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07/23/2020
Representation Sharing for Fast Object Detector Search and Beyond
Region Proposal Network (RPN) provides strong support for handling the s...
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03/26/2020
Compact Deep Aggregation for Set Retrieval
The objective of this work is to learn a compact embedding of a set of d...
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10/23/2018