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06/01/2023
UniDiff: Advancing Vision-Language Models with Generative and Discriminative Learning
Recent advances in vision-language pre-training have enabled machines to...
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12/07/2022
Multiple Object Tracking Challenge Technical Report for Team MT_IoT
This is a brief technical report of our proposed method for Multiple-Obj...
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09/16/2022
Weakly Supervised Semantic Segmentation via Progressive Patch Learning
Most of the existing semantic segmentation approaches with image-level c...
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09/16/2022
Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation
Generating precise class-aware pseudo ground-truths, a.k.a, class activa...
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09/07/2022
MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object Detection
Fusing LiDAR and camera information is essential for achieving accurate ...
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08/11/2022
ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design
Cross-modal fashion image synthesis has emerged as one of the most promi...
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07/11/2022
MT-Net Submission to the Waymo 3D Detection Leaderboard
In this technical report, we introduce our submission to the Waymo 3D De...
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03/10/2022
MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes
3D dense captioning is a recently-proposed novel task, where point cloud...
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03/10/2022
Suspected Object Matters: Rethinking Model's Prediction for One-stage Visual Grounding
Recently, one-stage visual grounders attract high attention due to the c...
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10/09/2021
Two-stage Visual Cues Enhancement Network for Referring Image Segmentation
Referring Image Segmentation (RIS) aims at segmenting the target object ...
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05/23/2020
Delving into the Imbalance of Positive Proposals in Two-stage Object Detection
Imbalance issue is a major yet unsolved bottleneck for the current objec...
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03/31/2020
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
We propose to incorporate neural architecture search (NAS) into general-...
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03/28/2020
NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing
Although significant progress has been made in pedestrian detection rece...
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03/16/2020
PS-RCNN: Detecting Secondary Human Instances in a Crowd via Primary Object Suppression
Detecting human bodies in highly crowded scenes is a challenging problem...
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08/01/2019
Central Similarity Hashing via Hadamard matrix
Hashing has been widely used for efficient large-scale multimedia data r...
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12/09/2018
Real-Time Referring Expression Comprehension by Single-Stage Grounding Network
In this paper, we propose a novel end-to-end model, namely Single-Stage ...
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11/23/2018
A Sufficient Condition for Convergences of Adam and RMSProp
Adam and RMSProp, as two of the most influential adaptive stochastic alg...
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10/12/2018
Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry
Combining cameras and inertial measurement units (IMUs) has been proven ...
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08/10/2018
Weighted AdaGrad with Unified Momentum
Integrating adaptive learning rate and momentum techniques into SGD lead...
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05/11/2018
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation
Despite the remarkable progress, weakly supervised segmentation approach...
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04/10/2018
Modular Generative Adversarial Networks
Existing methods for multi-domain image-to-image translation (or generat...
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04/03/2018
Left-Right Comparative Recurrent Model for Stereo Matching
Leveraging the disparity information from both left and right views is c...
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11/09/2017
Predicting Scene Parsing and Motion Dynamics in the Future
The ability of predicting the future is important for intelligent system...
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08/15/2017
Learning with Rethinking: Recurrently Improving Convolutional Neural Networks through Feedback
Recent years have witnessed the great success of convolutional neural ne...
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08/08/2017
FoveaNet: Perspective-aware Urban Scene Parsing
Parsing urban scene images benefits many applications, especially self-d...
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07/21/2017
Neural Person Search Machines
We investigate the problem of person search in the wild in this work. In...
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04/18/2017
Deep Self-Taught Learning for Weakly Supervised Object Localization
Most existing weakly supervised localization (WSL) approaches learn dete...
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03/08/2017
Tree-Structured Reinforcement Learning for Sequential Object Localization
Existing object proposal algorithms usually search for possible object r...
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01/01/2017
Video-based Person Re-identification with Accumulative Motion Context
Video based person re-identification plays a central role in realistic s...
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12/01/2016
Video Scene Parsing with Predictive Feature Learning
In this work, we address the challenging video scene parsing problem by ...
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08/27/2016
Multi-Path Feedback Recurrent Neural Network for Scene Parsing
In this paper, we consider the scene parsing problem and propose a novel...
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01/19/2016
Scale-aware Pixel-wise Object Proposal Networks
Object proposal is essential for current state-of-the-art object detecti...
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11/14/2015
