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09/09/2023
VeRi3D: Generative Vertex-based Radiance Fields for 3D Controllable Human Image Synthesis
Unsupervised learning of 3D-aware generative adversarial networks has la...
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06/15/2023
Edit-DiffNeRF: Editing 3D Neural Radiance Fields using 2D Diffusion Model
Recent research has demonstrated that the combination of pretrained diff...
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06/14/2023
Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited
We revisit the problem of sampling from a target distribution that has a...
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05/29/2023
Volume Feature Rendering for Fast Neural Radiance Field Reconstruction
Neural radiance fields (NeRFs) are able to synthesize realistic novel vi...
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05/25/2023
Camera-Incremental Object Re-Identification with Identity Knowledge Evolution
Object Re-identification (ReID) aims to retrieve the probe object from m...
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04/28/2023
Quality-agnostic Image Captioning to Safely Assist People with Vision Impairment
Automated image captioning has the potential to be a useful tool for peo...
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03/11/2023
Knowledge Distillation for Efficient Sequences of Training Runs
In many practical scenarios – like hyperparameter search or continual re...
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03/08/2023
X-Pruner: eXplainable Pruning for Vision Transformers
Recently vision transformer models have become prominent models for a ra...
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02/13/2023
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation
In recommendation scenarios, there are two long-standing challenges, i.e...
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12/15/2022
SteerNeRF: Accelerating NeRF Rendering via Smooth Viewpoint Trajectory
Neural Radiance Fields (NeRF) have demonstrated superior novel view synt...
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09/30/2022
Task Formulation Matters When Learning Continually: A Case Study in Visual Question Answering
Continual learning aims to train a model incrementally on a sequence of ...
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07/28/2022
Improving Few-shot News Recommendation via Cross-lingual Transfer
The cold-start problem has been commonly recognized in recommendation sy...
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07/12/2022
eX-ViT: A Novel eXplainable Vision Transformer for Weakly Supervised Semantic Segmentation
Recently vision transformer models have become prominent models for a ra...
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07/06/2022
Adversarial Robustness of Visual Dialog
Adversarial robustness evaluates the worst-case performance scenario of ...
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02/23/2022
Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance
We study stochastic convex optimization under infinite noise variance. S...
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01/05/2022
Group structure estimation for panel data – a general approach
Consider a panel data setting where repeated observations on individuals...
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12/30/2021
Continually Learning Self-Supervised Representations with Projected Functional Regularization
Recent self-supervised learning methods are able to learn high-quality i...
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09/13/2021
Scrybe: A Secure Audit Trail for Clinical Trial Data Fusion
Clinical trials are a multi-billion dollar industry. One of the biggest ...
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07/28/2021
Subjective evaluation of traditional and learning-based image coding methods
We conduct a subjective experiment to compare the performance of traditi...
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12/06/2020
Self-Training for Class-Incremental Semantic Segmentation
We study incremental learning for semantic segmentation where when learn...
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11/11/2020
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs
Image-to-image translation has recently achieved remarkable results. But...
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09/16/2020
Compressing Facial Makeup Transfer Networks by Collaborative Distillation and Kernel Decomposition
Although the facial makeup transfer network has achieved high-quality pe...
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09/02/2020
Self-supervised Smoothing Graph Neural Networks
This paper studies learning node representations with GNNs for unsupervi...
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06/14/2020
An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias
Structured non-convex learning problems, for which critical points have ...
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05/19/2020
Addressing Class-Imbalance Problem in Personalized Ranking
Pairwise ranking models have been widely used to address recommendation ...
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04/01/2020
Semantic Drift Compensation for Class-Incremental Learning
Class-incremental learning of deep networks sequentially increases the n...
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02/25/2020
Protocol Proxy: An FTE-based Covert Channel
In a hostile network environment, users must communicate without being d...
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10/15/2019
Privacy Preserving Count Statistics
The ability to preserve user privacy and anonymity is important. One of ...
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07/08/2019
False Discovery Rates in Biological Networks
The increasing availability of data has generated unprecedented prospect...
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04/07/2019
Learning Metrics from Teachers: Compact Networks for Image Embedding
Metric learning networks are used to compute image embeddings, which are...
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05/11/2018
Weakly Supervised Domain-Specific Color Naming Based on Attention
The majority of existing color naming methods focuses on the eleven basi...
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08/01/2016
