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08/25/2023
Fine-tuning can cripple your foundation model; preserving features may be the solution
Pre-trained foundation models, owing primarily to their enormous capacit...
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08/15/2022
Memory-Driven Text-to-Image Generation
We introduce a memory-driven semi-parametric approach to text-to-image g...
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07/05/2022
SiamMask: A Framework for Fast Online Object Tracking and Segmentation
In this paper we introduce SiamMask, a framework to perform both visual ...
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06/29/2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness
We show that the effectiveness of the well celebrated Mixup [Zhang et al...
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07/09/2021
ANCER: Anisotropic Certification via Sample-wise Volume Maximization
Randomized smoothing has recently emerged as an effective tool that enab...
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04/12/2021
Cloth Interactive Transformer for Virtual Try-On
2D image-based virtual try-on has attracted increased attention from the...
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02/23/2021
Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
We show that a single softmax neural net with minimal changes can beat t...
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01/14/2021
Scaling the Convex Barrier with Active Sets
Tight and efficient neural network bounding is of critical importance fo...
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12/13/2020
GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation
In this paper, we propose a geometric neural network with edge-aware ref...
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07/17/2020
XingGAN for Person Image Generation
We propose a novel Generative Adversarial Network (XingGAN or CrossingGA...
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06/17/2020
Rethinking Semi-Supervised Learning in VAEs
We present an alternative approach to semi-supervision in variational au...
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03/31/2020
Edge Guided GANs with Semantic Preserving for Semantic Image Synthesis
We propose a novel Edge guided Generative Adversarial Network (EdgeGAN) ...
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02/21/2020
Calibrating Deep Neural Networks using Focal Loss
Miscalibration – a mismatch between a model's confidence and its correct...
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09/14/2019
Branch and Bound for Piecewise Linear Neural Network Verification
The success of Deep Learning and its potential use in many safety-critic...
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05/23/2018
Efficient Relaxations for Dense CRFs with Sparse Higher Order Potentials
Dense conditional random fields (CRFs) with Gaussian pairwise potentials...
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01/30/2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
We study the incremental learning problem for the classification task, a...
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11/01/2017
