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04/23/2023
CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection
Lane detection is challenging due to the complicated on road scenarios a...
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04/09/2022
S4OD: Semi-Supervised learning for Single-Stage Object Detection
Single-stage detectors suffer from extreme foreground-background class i...
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01/15/2022
A Critical Analysis of Image-based Camera Pose Estimation Techniques
Camera, and associated with its objects within the field of view, locali...
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10/27/2021
2nd Place Solution for VisDA 2021 Challenge – Universally Domain Adaptive Image Recognition
The Visual Domain Adaptation (VisDA) 2021 Challenge calls for unsupervis...
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06/30/2021
Multi-Source Domain Adaptation for Object Detection
To reduce annotation labor associated with object detection, an increasi...
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06/16/2021
2nd Place Solution for Waymo Open Dataset Challenge – Real-time 2D Object Detection
In an autonomous driving system, it is essential to recognize vehicles, ...
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02/28/2021
Communication-efficient Byzantine-robust distributed learning with statistical guarantee
Communication efficiency and robustness are two major issues in modern d...
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01/04/2021
SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training
The record-breaking performance of deep neural networks (DNNs) comes wit...
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11/25/2020
Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation
Thanks to large-scale labeled training data, deep neural networks (DNNs)...
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11/17/2020
Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources
Sentiment analysis of user-generated reviews or comments on products and...
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08/22/2020
Emotion-Based End-to-End Matching Between Image and Music in Valence-Arousal Space
Both images and music can convey rich semantics and are widely used to i...
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06/23/2020
Rethinking Distributional Matching Based Domain Adaptation
Domain adaptation (DA) is a technique that transfers predictive models t...
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05/03/2020
TIMELY: Pushing Data Movements and Interfaces in PIM Accelerators Towards Local and in Time Domain
Resistive-random-access-memory (ReRAM) based processing-in-memory (R^2PI...
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02/26/2020
Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey
In many practical applications, it is often difficult and expensive to o...
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02/26/2020
DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures
The recent breakthroughs in deep neural networks (DNNs) have spurred a t...
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02/12/2020
An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos
Emotion recognition in user-generated videos plays an important role in ...
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01/06/2020
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs
Recent breakthroughs in Deep Neural Networks (DNNs) have fueled a growin...
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01/03/2020
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference
While increasingly deep networks are still in general desired for achiev...
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11/22/2019
Multi-source Distilling Domain Adaptation
Deep neural networks suffer from performance decay when there is domain ...
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10/29/2019
E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving
Convolutional neural networks (CNNs) have been increasingly deployed to ...
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10/27/2019
Multi-source Domain Adaptation for Semantic Segmentation
Simulation-to-real domain adaptation for semantic segmentation has been ...
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09/26/2019
Drawing early-bird tickets: Towards more efficient training of deep networks
(Frankle & Carbin, 2019) shows that there exist winning tickets (small b...
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07/28/2019
ROAM: Recurrently Optimizing Tracking Model
Online updating a tracking model to adapt to object appearance variation...
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07/10/2019
Dual Dynamic Inference: Enabling More Efficient, Adaptive and Controllable Deep Inference
State-of-the-art convolutional neural networks (CNNs) yield record-break...
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01/07/2019
Multiple Set Matching and Pre-Filtering with Bloom Multifilters
Bloom filter is a space-efficient probabilistic data structure for check...
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01/07/2019
Bloom Multifilters for Multiple Set Matching
Bloom filter is a space-efficient probabilistic data structure for check...
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10/29/2018
Efficient Taxonomic Similarity Joins with Adaptive Overlap Constraint
A similarity join aims to find all similar pairs between two collections...
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11/09/2017