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08/24/2023
Hyperbolic Audio-visual Zero-shot Learning
Audio-visual zero-shot learning aims to classify samples consisting of a...
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04/21/2023
Hyperbolic Geometry in Computer Vision: A Survey
Hyperbolic geometry, a Riemannian manifold endowed with constant section...
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02/21/2023
Improving Scene Text Image Super-Resolution via Dual Prior Modulation Network
Scene text image super-resolution (STISR) aims to simultaneously increas...
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11/14/2022
What Images are More Memorable to Machines?
This paper studies the problem of measuring and predicting how memorable...
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09/28/2022
Human-in-the-loop Robotic Grasping using BERT Scene Representation
Current NLP techniques have been greatly applied in different domains. I...
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08/02/2022
Curved Geometric Networks for Visual Anomaly Recognition
Learning a latent embedding to understand the underlying nature of data ...
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06/14/2022
Asymmetric Dual-Decoder U-Net for Joint Rain and Haze Removal
This work studies the joint rain and haze removal problem. In real-life ...
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03/23/2022
GOSS: Towards Generalized Open-set Semantic Segmentation
In this paper, we present and study a new image segmentation task, calle...
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03/07/2022
Towards Automated Real-time Evaluation in Text-based Counseling
Automated real-time evaluation of counselor-client interaction is import...
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01/28/2022
You Only Cut Once: Boosting Data Augmentation with a Single Cut
We present You Only Cut Once (YOCO) for performing data augmentations. Y...
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12/07/2021
Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning
Learning and generalizing to novel concepts with few samples (Few-Shot L...
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12/03/2021
Adaptive Poincaré Point to Set Distance for Few-Shot Classification
Learning and generalizing from limited examples, i,e, few-shot learning,...
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10/11/2021
TSG: Target-Selective Gradient Backprop for Probing CNN Visual Saliency
The explanation for deep neural networks has drawn extensive attention i...
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08/25/2021
Blind Image Decomposition
We present and study a novel task named Blind Image Decomposition (BID),...
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03/06/2021
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning
Few-shot class incremental learning (FSCIL) portrays the problem of lear...
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11/02/2020
Set Augmented Triplet Loss for Video Person Re-Identification
Modern video person re-identification (re-ID) machines are often trained...
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10/07/2020
Channel Recurrent Attention Networks for Video Pedestrian Retrieval
Full attention, which generates an attention value per element of the in...
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06/17/2020
