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07/01/2023
ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models
Large-scale vision-language models (VLMs) like CLIP successfully find co...
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05/22/2023
If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection
Despite their impressive capabilities, diffusion-based text-to-image (T2...
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02/01/2023
Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification
We investigate the problem of reducing mistake severity for fine-grained...
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07/14/2022
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
High-quality calibrated uncertainty estimates are crucial for numerous r...
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05/13/2022
KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning
The goal of open-world compositional zero-shot learning (OW-CZSL) is to ...
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09/24/2021
Bringing Generalization to Deep Multi-view Detection
Multi-view Detection (MVD) is highly effective for occlusion reasoning a...
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08/25/2021
Learning From Long-Tailed Data With Noisy Labels
Class imbalance and noisy labels are the norm rather than the exception ...
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04/01/2021
No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks
There has been increasing interest in building deep hierarchy-aware clas...
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06/04/2020
Simple Unsupervised Multi-Object Tracking
Multi-object tracking has seen a lot of progress recently, albeit with s...
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10/27/2019
