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📚 Video CNN/XAI Research Hub

Automated paper curation for video deep learning & explainability research

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📊 Overview

🏆 Top 5 Most Influential

This list highlights long-term impact; see Trending for recent work.

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🔥 Latest Trending (2024-2026)

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🔥 Latest Core Papers

📎 Strongly Related Papers

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📅 2026 (647 papers)

Tag	Title	Summary	Author	Score
🔥	WA-JEPA: Rethinking the Video JEPA Paradigm for Wo	Video Joint Embedding Predictive Architecture (V-JEPA) learns powerful	Xinlin Wang, Yujiao Xiang+	5.8
🔥	Thinking Beyond Videos: Unifying Video Reasoning a	Open-world video understanding often requires a model to locate sparse	Wenqi Liu, Shijie Ma+	5.8
🔥	VBVR-Pro: A Scalable and Verifiable Suite for Nati	Native visual reasoning treats visual generation as the medium of reas	Junxiang Xu, Ruisi Wang+	5.8
🔥	MyoMechanix: Biomechanically-Grounded Compositiona	Existing action quality assessment (AQA) datasets and methods rely pri	Hao Yin, Paritosh Parmar+	5.8
🔥	Addressable Memory for Video World Models	We study visual persistence in interactive video world models. These m	Xindi Wu, Sven Elflein+	5.7
🔥	MoTE: Mixture of Task Experts for Multi-Task Video	Procedural video-language models must solve heterogeneous tasks from t	Muhammad Asad Ali, Umar Khan+	5.7
🔥	Searching Videos as Trees: Self-Correcting Agents	Grounded long-video question answering (Grounded LVQA) requires answer	Ce Zhang, Ziyang Wang+	5.5
🔥	GROVE: Growing and Reasoning over Temporally Strat	A wearable assistant should both answer questions about its visual his	Sitong Gong, Caixin Kang+	5.5
🔥	Video-DeepResearch: Towards the Next-Generation Mu	We introduce Video-DeepResearch (Video-DR), extending multimodal agent	Zhen Fang, Yu Zeng+	5.5
🔥	HelloWorld: Enabling Socially Interactive Characte	Despite the remarkable recent progress of video world models, social i	Liangyang Ouyang, Ruicong Liu+	5.5
🔥	Towards Expert-level Medical AI for Real-time Vide	Audio-visual interaction is the standard for patient-physician consult	Mahvish Nagda, Jihyeon Lee+	5.5
🔥	X-LMC: Cross-View Spatiotemporal Collateral Circul	Digital subtraction angiography (DSA) is the reference standard for le	Maedeh Hafezi Moghadas, Hakim Baazaoui+	5.5

Showing 12 of 647 papers. See ALL_PAPERS.md for all entries.

📅 2025 (107 papers)

Tag	Title	Summary	Author	Score
🔥	Enhancing Video Understanding: Deep Neural Network	It's no secret that video has become the primary way we share informat	Amir Hosein Fadaei, Mohammad-Reza A. Dehaqani	5.8
🔥	Fine tuning 3D Convolutional Networks for enhanced	The study of Human Activity Recognition (HAR) has attracted considerab	Abir Frad, Hend Basly+	5.4
🔥	A Hybrid 3D CNNs Transformer Architecture for Vide	Video-Based Human Action Recognition (HAR) remains challenging due to	Engin Seven, Eylem Yücel Demirel	5.4
🔥	Video-CoT: A Comprehensive Dataset for Spatiotempo	Video content comprehension is essential for various applications, ran	Shuyi Zhang, Xiaoshuai Hao+	5.2
🔥	V-STaR: Benchmarking Video-LLMs on Video Spatio-Te	Human processes video reasoning in a sequential spatio-temporal reason	Zixu Cheng, Jian Hu+	5.2
🔥	Video deepfake detection using a hybrid CNN-LSTM-T	The proliferation of deepfake technology poses significant challenges	G. Petmezas, Vazgken Vanian+	5.0
🔥	TinyLLaVA-Video: Towards Smaller LMMs for Video Un	Video behavior recognition and scene understanding are fundamental tas	Xingjian Zhang, Xi Weng+	4.9
🔥	Harnessing Synthetic Preference Data for Enhancing	While Video Large Language Models (Video-LLMs) have demonstrated remar	Sameep Vani, Shreyas Jena+	4.9
🔥	AceVFI: A Comprehensive Survey of Advances in Vide	Video Frame Interpolation (VFI) is a core low-level vision task that s	Dahyeon Kye, Changhyun Roh+	4.9
🔥	How Much 3D Do Video Foundation Models Encode?	Videos are continuous 2D projections of 3D worlds. After training on l	Zixuan Huang, Xiang Li+	4.9
🔥	A Novel 3D Convolutional Neural Network-Based Deep	Accurate analysis of medical videos remains a major challenge in deep	M. K. Dhar, Mou Deb+	4.9
🔥	RepAttn3D: Re-parameterizing 3D attention with spa	The technique of structural re-parameterization has been widely adopte	Xiusheng Lu, Lechao Cheng+	4.8

Showing 12 of 107 papers. See ALL_PAPERS.md for all entries.

📅 2024 (103 papers)

Tag	Title	Summary	Author	Score
🔥	InternVideo2: Scaling Foundation Models for Multim	We introduce InternVideo2, a new family of video foundation models (Vi	Yi Wang, Kunchang Li+	5.2
🔥	Various frameworks for integrating image and video	Human action recognition has been identified as an important research	Shaimaa Yosry, Lamiaa A. Elrefaei+	4.8
🔥	Video-based Exercise Classification and Activated	This paper introduces a simple yet effective strategy for exercise cla	Manvik Pasula, Pramit Saha	4.7
🔥	LongVU: Spatiotemporal Adaptive Compression for Lo	Multimodal Large Language Models (MLLMs) have shown promising progress	Xiaoqian Shen, Yunyang Xiong+	4.7
🔥	VideoMamba: State Space Model for Efficient Video	Addressing the dual challenges of local redundancy and global dependen	Kunchang Li, Xinhao Li+	4.7
🔥	Isolated Video-Based Sign Language Recognition Usi	Sign language is a complex language that uses hand gestures, body move	Diksha Kumari, Radhey Shyam Anand	4.7
🔥	Can VLMs be used on videos for action recognition?	Recent advancements have introduced multiple vision-language models (V	Harsh Lunia	4.4
🔥	Prompting Video-Language Foundation Models with Do	Video Question Answering (VideoQA) represents a crucial intersection b	Ting Yu, Kunhao Fu+	4.4
🔥	Relevance-guided Audio Visual Fusion for Video Sal	Audio data, often synchronized with video frames, plays a crucial role	Li Yu, Xuanzhe Sun+	4.4
🔥	Automated diagnosis of respiratory diseases from l	An automated computerized approach can aid radiologists in the early d	Arefin Ittesafun Abian, Mohaimenul Azam Khan Raiaan+	4.3
🔥	Facial Expression Recognition in Video Using 3D-CN	The focus of research work presented in this paper on improving perfor	Sathisha G, C. K. Subbaraya+	4.3
🔥	Interpretability in Video-based Human Action Recog	Interpretability plays a vital role in understanding complex deep lear	Jorge Garcia-Torres Fernandez	4.3

Showing 12 of 103 papers. See ALL_PAPERS.md for all entries.

📅 2023 (57 papers)

Tag	Title	Summary	Author	Score
🔥	Hierarchical Spatiotemporal Feature Fusion Network	Current video saliency prediction methods have made great progress rel	Yunzuo Zhang, Tian Zhang+	5.7
🔥	Video-FocalNets: Spatio-Temporal Focal Modulation	Recent video recognition models utilize Transformer models for long-ra	Syed Talal Wasim, Muhammad Uzair Khattak+	5.5
🔥	Deep Neural Networks in Video Human Action Recogni	Currently, video behavior recognition is one of the most foundational	Zihan Wang, Yang Yang+	5.5
🔥	Video Understanding with Large Language Models: A	With the burgeoning growth of online video platforms and the escalatin	Yolo Y. Tang, Jing Bi+	5.2
🔥	Audio-visual Saliency for Omnidirectional Videos	Visual saliency prediction for omnidirectional videos (ODVs) has shown	Yuxin Zhu, Xilei Zhu+	5.2
🔥	Understanding Video Transformers for Segmentation:	Video segmentation encompasses a wide range of categories of problem f	Rezaul Karim, Richard P. Wildes	4.8
🔥	VMC: Video Motion Customization using Temporal Att	Text-to-video diffusion models have advanced video generation signific	Hyeonho Jeong, Geon Yeong Park+	4.7
🔥	A Video Is Worth 4096 Tokens: Verbalize Videos To	Multimedia content, such as advertisements and story videos, exhibit a	Aanisha Bhattacharya, Yaman K Singla+	4.6
🔥	A dynamic gesture recognition method based on R(2+	Efficient spatial-temporal feature extraction from input video streams	Yupeng Huo, Jie Shen+	4.6
🔥	Spatio-Temporal Features based Human Action Recogn	—Recognition of human intention is crucial and challenging due to subt	Saifuddin Saif, E. Wollega+	4.5
🔥	AMS-Net: Modeling Adaptive Multi-Granularity Spati	Effective spatio-temporal modeling as a core of video representation l	Qilong Wang, Qiyao Hu+	4.5
🔥	Video Traffic Analysis for Real-Time Emotion Recog	Since the outbreak of the COVID-19 crisis, the transition to remote ed	Ayoub Sassi, W. Jaafar+	4.5

Showing 12 of 57 papers. See ALL_PAPERS.md for all entries.

📅 2022 (51 papers)

Tag	Title	Summary	Author	Score
🔥	Large-scale Robustness Analysis of Video Action Re	We have seen a great progress in video action recognition in recent ye	Madeline Chantry Schiappa, Naman Biyani+	5.5
🔥	VRT: A Video Restoration Transformer	Video restoration (e. g. , video super-resolution) aims to restore hig	Jingyun Liang, Jiezhang Cao+	5.5
🔥	3D Convolutional with Attention for Action Recogni	Human action recognition is one of the challenging tasks in computer v	Labina Shrestha, Shikha Dubey+	5.0
🔥	UniFormerV2: Spatiotemporal Learning by Arming Ima	Learning discriminative spatiotemporal representation is the key probl	Kunchang Li, Yali Wang+	5.0
🔥	Video Human Action Recognition Algorithm Based on	The traditional action recognition algorithm based on manual feature e	Yu Wang, Jiaxi Sun	4.8
🔥	No-Reference Video Quality Assessment Using Multi-	With the constantly growing popularity of video-based services and app	D. Varga	4.8
🔥	Action Recognition Using Action Sequences Optimiza	Effective extraction and representation of action information are crit	Xin Xiong, Weidong Min+	4.5
🔥	Enhancing Deformable Convolution based Video Frame	This paper presents a new deformable convolution-based video frame int	Duolikun Danier, Fan Zhang+	4.4
🔥	Skeleton Graph-Neural-Network-Based Human Action R	Human action recognition has been applied in many fields, such as vide	Miao Feng, Jean Meunier	4.4
🔥	Two-stream fusion model using 3D-CNN and 2D-CNN vi	Hand gestures are useful tools for many applications in the human-comp	Debajit Sarma, V. Kavyasree+	4.3
🔥	Sign Language Recognition Based on R(2+1)D With Sp	Previous work utilized three-dimensional (3-D) convolutional neural ne	Xiangzu Han, Fei Lu+	4.3
🔥	Video Visual Relation Detection via 3D Convolution	Video visual relation detection, which aims to detect the visual relat	Mingcheng Qu, Jianxun Cui+	4.3

Showing 12 of 51 papers. See ALL_PAPERS.md for all entries.

📅 2021 (49 papers)

Tag	Title	Summary	Author	Score
🔥	Spatiotemporal Dilated Convolution with Uncertain	In this paper, we propose a novel SpatioTemporal convolutional Dense N	Yu-Jen Ma, Hong-Han Shuai+	6.3
🔥	Action Transformer: A Self-Attention Model for Sho	Deep neural networks based purely on attention have been successful ac	Vittorio Mazzia, Simone Angarano+	5.7
🔥	Temporal-attentive Covariance Pooling Networks for	For video recognition task, a global representation summarizing the wh	Zilin Gao, Qilong Wang+	5.7
🔥	Is Space-Time Attention All You Need for Video Und	We present a convolution-free approach to video classification built e	Gedas Bertasius, Heng Wang+	5.6
🔥	TAda! Temporally-Adaptive Convolutions for Video U	Spatial convolutions are widely used in numerous deep video models. It	Ziyuan Huang, Shiwei Zhang+	5.2
🔥	Efficient Action Recognition with Introducing R(2+	The mainstream methods in video action recognition includes 3D convolu	Hao Jin, Jianming Yang+	5.2
🔥	Token Shift Transformer for Video Classification	Transformer achieves remarkable successes in understanding 1 and 2-dim	Hao Zhang, Y. Hao+	5.0
🔥	Improved CNN-based Learning of Interpolation Filte	The versatility of recent machine learning approaches makes them ideal	Luka Murn, Saverio Blasi+	4.9
🔥	SAIC_Cambridge-HuPBA-FBK Submission to the EPIC-Ki	This report presents the technical details of our submission to the EP	Swathikiran Sudhakaran, Adrian Bulat+	4.7
🔥	"Knights": First Place Submission for VIPriors21 A	This technical report presents our approach "Knights" to solve the act	Ishan Dave, Naman Biyani+	4.4
🔥	Revisiting Video Saliency Prediction in the Deep L	Predicting where people look in static scenes, a. k. a visual saliency	Wenguan Wang, Jianbing Shen+	4.3
🔥	Recent Advances in Video Action Recognition with 3	SUMMARY The performance of video action recognition has improved signi	Kensho Hara	4.3

Showing 12 of 49 papers. See ALL_PAPERS.md for all entries.

📅 2020 (41 papers)

Tag	Title	Summary	Author	Score
🔥	Deep Analysis of CNN-based Spatio-temporal Represe	In recent years, a number of approaches based on 2D or 3D convolutiona	Chun-Fu Chen, Rameswar Panda+	5.8
🔥	Unified Image and Video Saliency Modeling	Visual saliency modeling for images and videos is treated as two indep	Richard Droste, Jianbo Jiao+	5.7
🔥	TAM: Temporal Adaptive Module for Video Recognitio	Video data is with complex temporal dynamics due to various factors su	Zhaoyang Liu, Limin Wang+	5.7
🔥	Dissected 3D CNNs: Temporal Skip Connections for E	Convolutional Neural Networks with 3D kernels (3D-CNNs) currently achi	Okan Köpüklü, Stefan Hörmann+	5.5
🔥	TEA: Temporal Excitation and Aggregation for Actio	Temporal modeling is key for action recognition in videos. It normally	Yan Li, Bin Ji+	5.5
🔥	RANP: Resource Aware Neuron Pruning at Initializat	Although 3D Convolutional Neural Networks (CNNs) are essential for mos	Zhiwei Xu, Thalaiyasingam Ajanthan+	5.2
🔥	Developing Motion Code Embedding for Action Recogn	In this work, we propose a motion embedding strategy known as motion c	Maxat Alibayev, David Paulius+	5.2
🔥	Would Mega-scale Datasets Further Enhance Spatiote	How can we collect and use a video dataset to further improve spatiote	Hirokatsu Kataoka, Tenga Wakamiya+	5.0
🔥	Learnable Sampling 3D Convolution for Video Enhanc	A key challenge in video enhancement and action recognition is to fuse	Shuyang Gu, Jianmin Bao+	5.0
🔥	Challenge report:VIPriors Action Recognition Chall	This paper is a brief report to our submission to the VIPriors Action	Zhipeng Luo, Dawei Xu+	4.7
🔥	Res3ATN -- Deep 3D Residual Attention Network for	Hand gesture recognition is a strenuous task to solve in videos. In th	Naina Dhingra, Andreas Kunz	4.6
🔥	Toward Accurate Person-level Action Recognition in	Detecting and recognizing human action in videos with crowded scenes i	Li Yuan, Yichen Zhou+	4.4

Showing 12 of 41 papers. See ALL_PAPERS.md for all entries.

📅 2019 (27 papers)

Tag	Title	Summary	Author	Score
🔥	Spatio-Temporal FAST 3D Convolutions for Human Act	Effective processing of video input is essential for the recognition o	Alexandros Stergiou, Ronald Poppe	5.8
🔥	A review of Convolutional-Neural-Network-based act	Abstract Video action recognition is widely applied in video indexing,	Guangle Yao, Tao Lei+	5.3
🔥	Spatiotemporal distilled dense-connectivity networ	Abstract Two-stream convolutional neural networks show great promise f	Wangli Hao, Zhaoxiang Zhang	5.3
🔥	Resource Efficient 3D Convolutional Neural Network	Recently, convolutional neural networks with 3D kernels (3D CNNs) have	Okan Köpüklü, Neslihan Kose+	5.0
🔥	Image and Video Compression with Neural Networks:	In recent years, the image and video coding technologies have advanced	Siwei Ma, Xinfeng Zhang+	4.9
🔥	Improving Action Recognition with the Graph-Neural	Recent human action recognition methods mainly model a two-stream or 3	Wu Luo, Chongyang Zhang+	4.5
🔥	Multi-teacher Knowledge Distillation for Compresse	Recently, convolutional neural networks (CNNs) have seen great progres	Meng-Chieh Wu, C. Chiu+	4.2
🔥	Motion Sickness Prediction in Stereoscopic Videos	In this paper, we propose a three-dimensional (3D) convolutional neura	Tae Min Lee, Jong-Chul Yoon+	4.2
🔥	Predicting 3D Human Dynamics from Video	Given a video of a person in action, we can easily guess the 3D future	Jason Y. Zhang, Panna Felsen+	4.1
🔥	FBK-HUPBA Submission to the EPIC-Kitchens 2019 Act	In this report we describe the technical details of our submission to	Swathikiran Sudhakaran, Sergio Escalera+	4.1
📎	Explainable Deep Learning for Video Recognition Ta	The popularity of Deep Learning for real-world applications is ever-gr	Liam Hiley, Alun Preece+	3.9
📎	Deep 3D Convolutional Neural Network for Automated	Computer Aided Diagnosis has emerged as an indispensible technique for	Sumita Mishra, Naresh Kumar Chaudhary+	3.9

Showing 12 of 27 papers. See ALL_PAPERS.md for all entries.

📅 2018 (28 papers)

Tag	Title	Summary	Author	Score
🔥	Interpretable Spatio-temporal Attention for Video	Inspired by the observation that humans are able to process videos eff	Lili Meng, Bo Zhao+	7.4
🔥	Revisiting Video Saliency: A Large-scale Benchmark	In this work, we contribute to video saliency research in two ways. Fi	Wenguan Wang, Jianbing Shen+	5.3
🔥	Review of Visual Saliency Detection with Comprehen	Visual saliency detection model simulates the human visual system to p	Runmin Cong, Jianjun Lei+	5.0
🔥	Reduced-Gate Convolutional LSTM Using Predictive C	Spatiotemporal sequence prediction is an important problem in deep lea	Nelly Elsayed, Anthony S. Maida+	4.9
🔥	Recurrent Convolutions for Causal 3D CNNs	Recently, three dimensional (3D) convolutional neural networks (CNNs)	Gurkirt Singh, Fabio Cuzzolin	4.8
🔥	Non-local NetVLAD Encoding for Video Classificatio	This paper describes our solution for the 2$^\text{nd}$ YouTube-8M vid	Yongyi Tang, Xing Zhang+	4.6
🔥	Morph: Flexible Acceleration for 3D CNN-Based Vide	The past several years have seen both an explosion in the use of Convo	Kartik Hegde, R. Agrawal+	4.5
🔥	ECO: Efficient Convolutional Network for Online Vi	The state of the art in video understanding suffers from two problems:	Mohammadreza Zolfaghari, Kamaljeet Singh+	4.4
🔥	Non-Local Video Denoising by CNN	Non-local patch based methods were until recently state-of-the-art for	Axel Davy, Thibaud Ehret+	4.4
🔥	Recurrence to the Rescue: Towards Causal Spatiotem	Recently, three dimensional (3D) convolutional neural networks (CNNs)	Gurkirt Singh, Fabio Cuzzolin	4.3
🔥	Benchmark 3D eye-tracking dataset for visual salie	Visual Attention Models (VAMs) predict the location of an image or vid	Amin Banitalebi-Dehkordi, Eleni Nasiopoulos+	4.2
🔥	SlowFast Networks for Video Recognition	We present SlowFast networks for video recognition. Our model involves	Christoph Feichtenhofer, Haoqi Fan+	4.2

Showing 12 of 28 papers. See ALL_PAPERS.md for all entries.

📅 2017 (19 papers)

Tag	Title	Summary	Author	Score
🔥	The Monkeytyping Solution to the YouTube-8M Video	This article describes the final solution of team monkeytyping, who fi	He-Da Wang, Teng Zhang+	5.2
🔥	A Closer Look at Spatiotemporal Convolutions for A	In this paper we discuss several forms of spatiotemporal convolutions	Du Tran, Heng Wang+	5.1
🔥	Predicting Video Saliency with Object-to-Motion CN	Over the past few years, deep neural networks (DNNs) have exhibited gr	Lai Jiang, Mai Xu+	5.0
🔥	Hierarchical Deep Recurrent Architecture for Video	This paper introduces the system we developed for the Youtube-8M Video	Luming Tang, Boyang Deng+	4.9
🔥	Graph-Theoretic Spatiotemporal Context Modeling fo	As an important and challenging problem in computer vision, video sali	Lina Wei, Fangfang Wang+	4.8
🔥	Video Classification With CNNs: Using The Codec As	We investigate video classification via a two-stream convolutional neu	Aaron Chadha, Alhabib Abbas+	4.7
🔥	Facial Expression Recognition Using Enhanced Deep	Deep Neural Networks (DNNs) have shown to outperform traditional metho	Behzad Hasani, Mohammad H. Mahoor	4.4
🔥	Temporal Relational Reasoning in Videos	Temporal relational reasoning, the ability to link meaningful transfor	Bolei Zhou, A. Andonian+	4.2
🔥	Two-Stream 3D Convolutional Neural Network for Ske	It remains a challenge to efficiently extract spatialtemporal informat	Hong Liu, Juanhui Tu+	4.2
🔥	Spatio-Temporal Facial Expression Recognition Usin	Automated Facial Expression Recognition (FER) has been a challenging t	Behzad Hasani, Mohammad H. Mahoor	4.1
📎	A Brief Survey of Deep Reinforcement Learning	Deep reinforcement learning is poised to revolutionise the field of AI	Kai Arulkumaran, Marc Peter Deisenroth+	3.9
📎	Rethinking Spatiotemporal Feature Learning For Vid	Rethinking Spatiotemporal Feature Learning For Video Understanding	Saining Xie, Chen Sun+	3.9

Showing 12 of 19 papers. See ALL_PAPERS.md for all entries.

📅 2016 (6 papers)

Tag	Title	Summary	Author	Score
🔥	Convolutional Two-Stream Network Fusion for Video	Recent applications of Convolutional Neural Networks (ConvNets) for hu	Christoph Feichtenhofer, A. Pinz+	5.0
🔥	Large-Scale Shape Retrieval with Sparse 3D Convolu	In this paper we present results of performance evaluation of S3DCNN -	Alexandr Notchenko, Ermek Kapushev+	4.4
📎	Deep Learning for Saliency Prediction in Natural V	The purpose of this paper is the detection of salient areas in natural	Souad Chaabouni, Jenny Benois-Pineau+	3.4
📎	Grad-CAM: Visual Explanations from Deep Networks v	We propose a technique for producing ‘visual explanations’ for decisio	Ramprasaath R. Selvaraju, Abhishek Das+	3.3
📎	A Deep Learning Approach for Joint Video Frame and	Reinforcement learning is concerned with identifying reward-maximizing	Felix Leibfried, Nate Kushman+	2.6
📎	Transfer learning with deep networks for saliency	Transfer learning with deep networks for saliency prediction in natura	S. Chaabouni, J. Benois-Pineau+	2.6

📅 2015 (6 papers)

Tag	Title	Summary	Author	Score
🔥	C3D: Generic Features for Video Analysis	We propose a simple yet effective approach for spatiotemporal feature	Du Tran, Lubomir Bourdev+	5.7
🔥	Intra-and-Inter-Constraint-based Video Enhancement	Video enhancement plays an important role in various video application	Yuanzhe Chen, Weiyao Lin+	4.1
📎	Activity Recognition Using A Combination of Catego	This paper presents a novel approach for automatic recognition of huma	Weiyao Lin, Ming-Ting Sun+	3.8
📎	A new network-based algorithm for human activity r	In this paper, a new network-transmission-based (NTB) algorithm is pro	Weiyao Lin, Yuanzhe Chen+	3.8
📎	Group Event Detection with a Varying Number of Gro	This paper presents a novel approach for automatic recognition of grou	Weiyao Lin, Ming-Ting Sun+	2.9
📎	VoxNet: A 3D Convolutional Neural Network for real	VoxNet: A 3D Convolutional Neural Network for real-time object recogni	D. Maturana, S. Scherer	2.8

📅 2014 (2 papers)

Tag	Title	Summary	Author	Score
🔥	Visualizing and Understanding Convolutional Networ	Large Convolutional Network models have recently demonstrated impressi	Matthew D. Zeiler, Rob Fergus	5.4
📎	Deep Inside Convolutional Networks: Visualising Im	This paper addresses the visualisation of image classification models,	Karen Simonyan, Andrea Vedaldi+	3.7

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📄 Full paper list: ALL_PAPERS.md

🏗️ Architecture

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