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05/26/2023
Improving Knowledge Distillation via Regularizing Feature Norm and Direction
Knowledge distillation (KD) exploits a large well-trained model (i.e., t...
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11/25/2022
Far3Det: Towards Far-Field 3D Detection
We focus on the task of far-field 3D detection (Far3Det) of objects beyo...
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11/16/2022
Towards Long-Tailed 3D Detection
Contemporary autonomous vehicle (AV) benchmarks have advanced techniques...
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10/10/2022
Learning with an Evolving Class Ontology
Lifelong learners must recognize concept vocabularies that evolve over t...
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05/04/2022
ShoeRinsics: Shoeprint Prediction for Forensics with Intrinsic Decomposition
Shoe tread impressions are one of the most common types of evidence left...
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03/27/2022
Long-Tailed Recognition via Weight Balancing
In the real open world, data tends to follow long-tailed class distribut...
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04/07/2021
OpenGAN: Open-Set Recognition via Open Data Generation
Real-world machine learning systems need to analyze novel testing data t...
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04/07/2021
Multimodal Object Detection via Bayesian Fusion
Object detection with multimodal inputs can improve many safety-critical...
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07/08/2020
When Perspective Comes for Free: Improving Depth Prediction with Camera Pose Encoding
Monocular depth prediction is a highly underdetermined problem and recen...
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06/21/2020
Weak Supervision and Referring Attention for Temporal-Textual Association Learning
A system capturing the association between video frames and textual quer...
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05/11/2020
Celeganser: Automated Analysis of Nematode Morphology and Age
The nematode Caenorhabditis elegans (C. elegans) serves as an important ...
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02/27/2020
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation
Leveraging synthetically rendered data offers great potential to improve...
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04/07/2019
Modularized Textual Grounding for Counterfactual Resilience
Computer Vision applications often require a textual grounding module wi...
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04/02/2019
Multigrid Predictive Filter Flow for Unsupervised Learning on Videos
We introduce multigrid Predictive Filter Flow (mgPFF), a framework for u...
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11/28/2018
Image Reconstruction with Predictive Filter Flow
We propose a simple, interpretable framework for solving a wide range of...
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05/03/2018
Pixel-wise Attentional Gating for Parsimonious Pixel Labeling
To achieve parsimonious inference in per-pixel labeling tasks with a lim...
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05/02/2018
Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model
Automated facial expression analysis has a variety of applications in hu...
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05/01/2018
Weakly Supervised Attention Learning for Textual Phrases Grounding
Grounding textual phrases in visual content is a meaningful yet challeng...
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12/22/2017
Recurrent Pixel Embedding for Instance Grouping
We introduce a differentiable, end-to-end trainable framework for solvin...
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05/20/2017
Recurrent Scene Parsing with Perspective Understanding in the Loop
Objects may appear at arbitrary scales in perspective images of a scene,...
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11/16/2016
Low-rank Bilinear Pooling for Fine-Grained Classification
Pooling second-order local feature statistics to form a high-dimensional...
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06/06/2016
Photo Aesthetics Ranking Network with Attributes and Content Adaptation
Real-world applications could benefit from the ability to automatically ...
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02/02/2014
Collaborative Receptive Field Learning
The challenge of object categorization in images is largely due to arbit...
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01/22/2014
Learning Mid-Level Features and Modeling Neuron Selectivity for Image Classification
We now know that mid-level features can greatly enhance the performance ...
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05/30/2012