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07/21/2023
Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields
Despite the tremendous progress in neural radiance fields (NeRF), we sti...
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06/13/2023
E2E-LOAD: End-to-End Long-form Online Action Detection
Recently, there has been a growing trend toward feature-based approaches...
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06/13/2023
PaVa: a novel Path-based Valley-seeking clustering algorithm
Clustering methods are being applied to a wider range of scenarios invol...
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05/22/2023
Bridging the Gap Between End-to-end and Non-End-to-end Multi-Object Tracking
Existing end-to-end Multi-Object Tracking (e2e-MOT) methods have not sur...
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05/08/2023
A Multi-Modal Context Reasoning Approach for Conditional Inference on Joint Textual and Visual Clues
Conditional inference on joint textual and visual clues is a multi-modal...
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05/05/2023
LMEye: An Interactive Perception Network for Large Language Models
Training a Large Visual Language Model (LVLM) from scratch, like GPT-4, ...
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05/03/2023
A Neural Divide-and-Conquer Reasoning Framework for Image Retrieval from Linguistically Complex Text
Pretrained Vision-Language Models (VLMs) have achieved remarkable perfor...
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04/03/2023
Zero-Shot Semantic Segmentation with Decoupled One-Pass Network
Recently, the zero-shot semantic segmentation problem has attracted incr...
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03/31/2023
Adaptive Sparse Pairwise Loss for Object Re-Identification
Object re-identification (ReID) aims to find instances with the same ide...
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03/13/2023
TriDet: Temporal Action Detection with Relative Boundary Modeling
In this paper, we present a one-stage framework TriDet for temporal acti...
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12/24/2022
DiP: Learning Discriminative Implicit Parts for Person Re-Identification
In person re-identification (ReID) tasks, many works explore the learnin...
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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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10/22/2022
HAM: Hierarchical Attention Model with High Performance for 3D Visual Grounding
This paper tackles an emerging and challenging vision-language task, 3D ...
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10/11/2022
Planning Assembly Sequence with Graph Transformer
Assembly sequence planning (ASP) is the essential process for modern man...
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10/10/2022
Contrastive Video-Language Learning with Fine-grained Frame Sampling
Despite recent progress in video and language representation learning, t...
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10/08/2022
Contextual Modeling for 3D Dense Captioning on Point Clouds
3D dense captioning, as an emerging vision-language task, aims to identi...
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09/19/2022
Reweighting Clicks with Dwell Time in Recommendation
The click behavior is the most widely-used user positive feedback in rec...
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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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08/30/2022
A Circular Window-based Cascade Transformer for Online Action Detection
Online action detection aims at the accurate action prediction of the cu...
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07/23/2022
Chunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language Explanations
Visual Entailment with natural language explanations aims to infer the r...
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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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07/03/2022
Cycle-Interactive Generative Adversarial Network for Robust Unsupervised Low-Light Enhancement
Getting rid of the fundamental limitations in fitting to the paired trai...
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05/13/2022
Leveraging Global Binary Masks for Structure Segmentation in Medical Images
Deep learning (DL) models for medical image segmentation are highly infl...
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03/10/2022
A Closer Look at Debiased Temporal Sentence Grounding in Videos: Dataset, Metric, and Approach
Temporal Sentence Grounding in Videos (TSGV), which aims to ground a nat...
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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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12/02/2021
Controllable Video Captioning with an Exemplar Sentence
In this paper, we investigate a novel and challenging task, namely contr...
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12/02/2021
Syntax Customized Video Captioning by Imitating Exemplar Sentences
Enhancing the diversity of sentences to describe video contents is an im...
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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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10/01/2021
Video Temporal Relationship Mining for Data-Efficient Person Re-identification
This paper is a technical report to our submission to the ICCV 2021 VIPr...
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07/27/2021
Discriminative-Generative Representation Learning for One-Class Anomaly Detection
As a kind of generative self-supervised learning methods, generative adv...
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05/29/2021
ECMO: Peripheral Transplantation to Rehost Embedded Linux Kernels
Dynamic analysis based on the full-system emulator QEMU is widely used f...
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05/29/2021
Revisiting Challenges for Selective Data Protection of Real Applications
Selective data protection is a promising technique to defend against the...
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05/09/2021
Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Prior
Rain is a common natural phenomenon. Taking images in the rain however o...
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03/24/2021
Relation-aware Instance Refinement for Weakly Supervised Visual Grounding
Visual grounding, which aims to build a correspondence between visual ob...
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03/12/2021
Dual Attention-in-Attention Model for Joint Rain Streak and Raindrop Removal
Rain streaks and rain drops are two natural phenomena, which degrade ima...
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02/18/2021
SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering
Medical visual question answering (Med-VQA) has tremendous potential in ...
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01/05/2021
Similarity Reasoning and Filtration for Image-Text Matching
Image-text matching plays a critical role in bridging the vision and lan...
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12/30/2020
Unpaired Image Enhancement with Quality-Attention Generative Adversarial Network
In this work, we aim to learn an unpaired image enhancement model, which...
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12/30/2020
Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network
Improving the aesthetic quality of images is challenging and eager for t...
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11/18/2020
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis
We tackle human image synthesis, including human motion imitation, appea...
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10/16/2020
Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning
We propose a parsimonious quantile regression framework to learn the dyn...
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09/02/2020
Intrinsic Relationship Reasoning for Small Object Detection
The small objects in images and videos are usually not independent indiv...
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07/17/2020
Consensus-Aware Visual-Semantic Embedding for Image-Text Matching
Image-text matching plays a central role in bridging vision and language...
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04/04/2020
Deblurring by Realistic Blurring
Existing deep learning methods for image deblurring typically train mode...
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03/18/2020
STH: Spatio-Temporal Hybrid Convolution for Efficient Action Recognition
Effective and Efficient spatio-temporal modeling is essential for action...
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03/16/2020
Weakly-Supervised Multi-Level Attentional Reconstruction Network for Grounding Textual Queries in Videos
The task of temporally grounding textual queries in videos is to localiz...
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03/01/2020