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2020 – today
- 2023
[j73]Weiqing Min
, Zhiling Wang, Jiahao Yang, Chunlin Liu, Shuqiang Jiang:
Vision-based fruit recognition via multi-scale attention CNN. Comput. Electron. Agric. 210: 107911 (2023)- [j72]Shuqiang Jiang, Yaohui Zhu, Chenlong Liu, Xinhang Song, Xiangyang Li, Weiqing Min:
Dataset Bias in Few-Shot Image Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 229-246 (2023) - [j71]Weiqing Min, Zhiling Wang, Yuxin Liu, Mengjiang Luo, Liping Kang, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang:
Large Scale Visual Food Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9932-9949 (2023) - [j70]Haitao Zeng, Xinhang Song, Shuqiang Jiang:
Multi-Object Navigation Using Potential Target Position Policy Function. IEEE Trans. Image Process. 32: 2608-2619 (2023) - [j69]Xiaoqian Guo, Xiangyang Li, Yaowei Wang, Shuqiang Jiang:
TransWeaver: Weave Image Pairs for Class Agnostic Common Object Detection. IEEE Trans. Image Process. 32: 2947-2959 (2023) - [j68]Jiahao Yang, Xiangyang Li, Mao Zheng, Zihan Wang, Yongqing Zhu, Xiaoqian Guo, Yuchen Yuan, Zifeng Chai, Shuqiang Jiang:
MemBridge: Video-Language Pre-Training With Memory-Augmented Inter-Modality Bridge. IEEE Trans. Image Process. 32: 4073-4087 (2023) - [c156]Xiangyang Li, Zihan Wang, Jiahao Yang, Yaowei Wang, Shuqiang Jiang:
KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation. CVPR 2023: 2583-2592 - [c155]Sixian Zhang, Xinhang Song, Weijie Li, Yubing Bai, Xinyao Yu, Shuqiang Jiang:
Layout-based Causal Inference for Object Navigation. CVPR 2023: 10792-10802 - [c154]Xiaorong Qin, Xinhang Song, Shuqiang Jiang:
Bi-Level Meta-Learning for Few-Shot Domain Generalization. CVPR 2023: 15900-15910 - [c153]Shikang Yu, Jiachen Chen, Hu Han, Shuqiang Jiang:
Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint. CVPR 2023: 24266-24275 - [c152]Sujuan Hou, Xingzhuo Li, Weiqing Min, Jiacheng Li, Jing Wang, Yuanjie Zheng, Shuqiang Jiang:
A Cross-direction Task Decoupling Network for Small Logo Detection. ICME 2023: 1493-1498 - [i23]Xiangyang Li, Zihan Wang, Jiahao Yang, Yaowei Wang, Shuqiang Jiang:
KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation. CoRR abs/2303.15796 (2023) - [i22]Sujuan Hou, Xingzhuo Li, Weiqing Min, Jiacheng Li, Jing Wang, Yuanjie Zheng, Shuqiang Jiang:
A Cross-direction Task Decoupling Network for Small Logo Detection. CoRR abs/2305.02503 (2023) - [i21]Zihan Wang, Xiangyang Li, Jiahao Yang, Yeqi Liu, Shuqiang Jiang:
GridMM: Grid Memory Map for Vision-and-Language Navigation. CoRR abs/2307.12907 (2023) - 2022
- [j67]Weiqing Min, Chunlin Liu, Leyi Xu, Shuqiang Jiang:
Applications of knowledge graphs for food science and industry. Patterns 3(5): 100484 (2022) - [j66]Zhiling Wang, Weiqing Min, Zhuo Li, Liping Kang, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang:
Ingredient-Guided Region Discovery and Relationship Modeling for Food Category-Ingredient Prediction. IEEE Trans. Image Process. 31: 5214-5226 (2022) - [j65]Haitao Zeng, Xinhang Song, Gongwei Chen, Shuqiang Jiang:
Amorphous Region Context Modeling for Scene Recognition. IEEE Trans. Multim. 24: 141-151 (2022) - [j64]Jing Wang, Weiqing Min, Sujuan Hou, Shengnan Ma, Yuanjie Zheng, Shuqiang Jiang:
LogoDet-3K: A Large-scale Image Dataset for Logo Detection. ACM Trans. Multim. Comput. Commun. Appl. 18(1): 21:1-21:19 (2022) - [c151]Zhuo Li, Weiqing Min, Jiajun Song, Yaohui Zhu, Liping Kang, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang:
Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones Is Enough. AAAI 2022: 1518-1526 - [c150]Sixian Zhang, Weijie Li, Xinhang Song, Yubing Bai, Shuqiang Jiang:
Generative Meta-Adversarial Network for Unseen Object Navigation. ECCV (39) 2022: 301-320 - [c149]Jiajun Song, Weiqing Min, Yuxin Liu, Zhuo Li, Shuqiang Jiang, Yong Rui:
A Noise-robust Locality Transformer for Fine-grained Food Image Retrieval. MIPR 2022: 348-353 - [e7]Shuqiang Jiang, Kiyoharu Aizawa, Phoebe Chen, Keiji Yanai:
Proceedings of the 4th ACM International Conference on Multimedia in Asia, MMAsia 2022, Tokyo, Japan, December 13-16, 2022. ACM 2022, ISBN 978-1-4503-9478-9 [contents] - [i20]Sujuan Hou, Jiacheng Li, Weiqing Min, Qiang Hou, Yanna Zhao, Yuanjie Zheng, Shuqiang Jiang:
Deep Learning for Logo Detection: A Survey. CoRR abs/2210.04399 (2022) - 2021
- [j63]Xinda Liu, Weiqing Min, Shuhuan Mei, Lili Wang, Shuqiang Jiang:
Plant Disease Recognition: A Large-Scale Benchmark Dataset and a Visual Region and Loss Reweighting Approach. IEEE Trans. Image Process. 30: 2003-2015 (2021) - [j62]Yaohui Zhu, Weiqing Min, Shuqiang Jiang:
Attribute-Guided Feature Learning for Few-Shot Image Recognition. IEEE Trans. Multim. 23: 1200-1209 (2021) - [j61]Yanchao Zhang, Weiqing Min, Liqiang Nie, Shuqiang Jiang:
Hybrid-Attention Enhanced Two-Stream Fusion Network for Video Venue Prediction. IEEE Trans. Multim. 23: 2917-2929 (2021) - [c148]Sixian Zhang, Xinhang Song, Yubing Bai, Weijie Li, Yakui Chu, Shuqiang Jiang:
Hierarchical Object-to-Zone Graph for Object Navigation. ICCV 2021: 15110-15120 - [c147]Tianyu Zhang, Weiqing Min, Jiahao Yang, Tao Liu, Shuqiang Jiang, Yong Rui:
What If We Could Not See? Counterfactual Analysis for Egocentric Action Anticipation. IJCAI 2021: 1316-1322 - [c146]Weijie Li, Xinhang Song, Yubing Bai, Sixian Zhang, Shuqiang Jiang:
ION: Instance-level Object Navigation. ACM Multimedia 2021: 4343-4352 - [c145]Qiang Hou, Weiqing Min, Jing Wang, Sujuan Hou, Yuanjie Zheng, Shuqiang Jiang:
FoodLogoDet-1500: A Dataset for Large-Scale Food Logo Detection via Multi-Scale Feature Decoupling Network. ACM Multimedia 2021: 4670-4679 - [c144]Ricardo Guerrero, Michael Spranger, Shuqiang Jiang, Chong-Wah Ngo:
AIxFood'21: 3rd Workshop on AIxFood. ACM Multimedia 2021: 5688-5689 - [c143]Gongwei Chen, Xinhang Song, Bohan Wang, Shuqiang Jiang:
See More for Scene: Pairwise Consistency Learning for Scene Classification. NeurIPS 2021: 4987-4999 - [e6]Ricardo Guerrero, Michael Spranger, Shuqiang Jiang, Chong-Wah Ngo:
AI & Food'21: Proceedings of the 3rd Workshop on AIxFood, Virtual Event, China, 20 October 2021. ACM 2021, ISBN 978-1-4503-8673-9 [contents] - [i19]Zhuo Li, Weiqing Min, Jiajun Song, Yaohui Zhu, Shuqiang Jiang:
Rethinking Ranking-based Loss Functions: Only Penalizing Negative Instances before Positive Ones is Enough. CoRR abs/2102.04640 (2021) - [i18]Weiqing Min, Zhiling Wang, Yuxin Liu, Mengjiang Luo, Liping Kang, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang:
Large Scale Visual Food Recognition. CoRR abs/2103.16107 (2021) - [i17]Weiqing Min, Chunlin Liu, Shuqiang Jiang:
Towards Building a Food Knowledge Graph for Internet of Food. CoRR abs/2107.05869 (2021) - [i16]Wei Wang, Weiqing Min, Tianhao Li, Xiaoxiao Dong, Haisheng Li, Shuqiang Jiang:
Vision-Based Food Analysis for Automatic Dietary Assessment. CoRR abs/2108.02947 (2021) - [i15]Qiang Hou, Weiqing Min, Jing Wang, Sujuan Hou, Yuanjie Zheng, Shuqiang Jiang:
FoodLogoDet-1500: A Dataset for Large-Scale Food Logo Detection via Multi-Scale Feature Decoupling Network. CoRR abs/2108.04644 (2021) - [i14]Sixian Zhang, Xinhang Song, Yubing Bai, Weijie Li, Yakui Chu, Shuqiang Jiang:
Hierarchical Object-to-Zone Graph for Object Navigation. CoRR abs/2109.02066 (2021) - 2020
- [j60]Shuqiang Jiang, Weiqing Min, Yonggang Wen, Qingming Huang, Shuicheng Yan:
Deep neural networks for emerging multimedia computing and applications. Neurocomputing 395: 117-118 (2020) - [j59]Yongqiang Lv, Weiqing Min, Hua Duan, Shuqiang Jiang:
融合三元卷积神经网络与关系网络的小样本食品图像识别 (Few-shot Food Recognition Combining Triplet Convolutional Neural Network with Relation Network). 计算机科学 47(1): 136-143 (2020) - [j58]Xiangyang Li, Luis Herranz, Shuqiang Jiang:
Multifaceted Analysis of Fine-Tuning in a Deep Model for Visual Recognition. Trans. Data Sci. 1(1): 4:1-4:22 (2020) - [j57]Shuqiang Jiang, Weiqing Min, Linhu Liu, Zhengdong Luo:
Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition. IEEE Trans. Image Process. 29: 265-276 (2020) - [j56]Xinhang Song, Shuqiang Jiang, Bohan Wang, Chengpeng Chen, Gongwei Chen:
Image Representations With Spatial Object-to-Object Relations for RGB-D Scene Recognition. IEEE Trans. Image Process. 29: 525-537 (2020) - [j55]Weiqing Min, Shuhuan Mei, Linhu Liu, Yi Wang, Shuqiang Jiang:
Multi-Task Deep Relative Attribute Learning for Visual Urban Perception. IEEE Trans. Image Process. 29: 657-669 (2020) - [j54]Gongwei Chen, Xinhang Song, Haitao Zeng, Shuqiang Jiang:
Scene Recognition With Prototype-Agnostic Scene Layout. IEEE Trans. Image Process. 29: 5877-5888 (2020) - [j53]Haitao Zeng, Xinhang Song, Gongwei Chen, Shuqiang Jiang:
Learning Scene Attribute for Scene Recognition. IEEE Trans. Multim. 22(6): 1519-1530 (2020) - [j52]Weiqing Min, Shuqiang Jiang, Ramesh C. Jain:
Food Recommendation: Framework, Existing Solutions, and Challenges. IEEE Trans. Multim. 22(10): 2659-2671 (2020) - [j51]Weiqing Min, Shuhuan Mei, Zhuo Li, Shuqiang Jiang:
A Two-Stage Triplet Network Training Framework for Image Retrieval. IEEE Trans. Multim. 22(12): 3128-3138 (2020) - [j50]Shuqiang Jiang, Weiqing Min, Yongqiang Lyu, Linhu Liu:
Few-shot Food Recognition via Multi-view Representation Learning. ACM Trans. Multim. Comput. Commun. Appl. 16(3): 87:1-87:20 (2020) - [c142]Jing Wang, Weiqing Min, Sujuan Hou, Shengnan Ma, Yuanjie Zheng, Haishuai Wang, Shuqiang Jiang:
Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification. AAAI 2020: 6194-6201 - [c141]Yaohui Zhu, Chenlong Liu, Shuqiang Jiang:
Multi-attention Meta Learning for Few-shot Fine-grained Image Recognition. IJCAI 2020: 1090-1096 - [c140]Weiqing Min, Linhu Liu, Zhiling Wang, Zhengdong Luo, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang:
ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network. ACM Multimedia 2020: 393-401 - [c139]Tianyu Zhang, Weiqing Min, Ying Zhu, Yong Rui, Shuqiang Jiang:
An Egocentric Action Anticipation Framework via Fusing Intuition and Analysis. ACM Multimedia 2020: 402-410 - [c138]Xiaoqian Guo, Xiangyang Li, Shuqiang Jiang:
Expressional Region Retrieval. ACM Multimedia 2020: 2581-2589 - [c137]Xinhang Song, Haitao Zeng, Sixian Zhang, Luis Herranz, Shuqiang Jiang:
Generalized Zero-shot Learning with Multi-source Semantic Embeddings for Scene Recognition. ACM Multimedia 2020: 3976-3985 - [c136]Shuqiang Jiang, Weiqing Min:
Food Computing for Multimedia. ACM Multimedia 2020: 4782-4784 - [i13]Jing Wang, Weiqing Min, Sujuan Hou, Shengnan Ma, Yuanjie Zheng, Shuqiang Jiang:
LogoDet-3K: A Large-Scale Image Dataset for Logo Detection. CoRR abs/2008.05359 (2020) - [i12]Weiqing Min, Linhu Liu, Zhiling Wang, Zhengdong Luo, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang:
ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network. CoRR abs/2008.05655 (2020) - [i11]Shuqiang Jiang, Yaohui Zhu, Chenlong Liu, Xinhang Song, Xiangyang Li, Weiqing Min:
Dataset Bias in Few-shot Image Recognition. CoRR abs/2008.07960 (2020)
2010 – 2019
- 2019
- [j49]Weiqing Min, Shuqiang Jiang, Linhu Liu, Yong Rui, Ramesh C. Jain:
A Survey on Food Computing. ACM Comput. Surv. 52(5): 92:1-92:36 (2019) - [j48]Chengpeng Chen, Weiqing Min, Xue Li, Shuqiang Jiang:
Hybrid incremental learning of new data and new classes for hand-held object recognition. J. Vis. Commun. Image Represent. 58: 138-148 (2019) - [j47]Shuhuan Mei, Weiqing Min, Hua Duan, Shuqiang Jiang:
Instance-level object retrieval via deep region CNN. Multim. Tools Appl. 78(10): 13247-13261 (2019) - [j46]Xinhang Song, Shuqiang Jiang, Luis Herranz, Chengpeng Chen:
Learning Effective RGB-D Representations for Scene Recognition. IEEE Trans. Image Process. 28(2): 980-993 (2019) - [j45]Shuqiang Jiang, Sisi Liang, Chengpeng Chen, Yaohui Zhu, Xiangyang Li:
Class Agnostic Image Common Object Detection. IEEE Trans. Image Process. 28(6): 2836-2846 (2019) - [j44]Shuqiang Jiang, Weiqing Min, Shuhuan Mei:
Hierarchy-Dependent Cross-Platform Multi-View Feature Learning for Venue Category Prediction. IEEE Trans. Multim. 21(6): 1609-1619 (2019) - [j43]Xiangyang Li, Shuqiang Jiang:
Know More Say Less: Image Captioning Based on Scene Graphs. IEEE Trans. Multim. 21(8): 2117-2130 (2019) - [j42]Shuqiang Jiang, Gongwei Chen, Xinhang Song, Linhu Liu:
Deep Patch Representations with Shared Codebook for Scene Classification. ACM Trans. Multim. Comput. Commun. Appl. 15(1s): 5:1-5:17 (2019) - [c135]Xiangyang Li, Shuqiang Jiang, Jungong Han:
Learning Object Context for Dense Captioning. AAAI 2019: 8650-8657 - [c134]Yuyun Hua, Sixian Zhang, Xinhang Song, Jia'ning Li, Shuqiang Jiang:
A Real-Time Scene Recognition System Based on RGB-D Video Streams. ICMI 2019: 496-498 - [c133]Xinhang Song, Bohan Wang, Gongwei Chen, Shuqiang Jiang:
MUCH: Mutual Coupling Enhancement of Scene Recognition and Dense Captioning. ACM Multimedia 2019: 793-801 - [c132]Yongqing Zhu, Shuqiang Jiang:
Attention-based Densely Connected LSTM for Video Captioning. ACM Multimedia 2019: 802-810 - [c131]Xinhang Song, Sixian Zhang, Yuyun Hua, Shuqiang Jiang:
Aberrance-aware Gradient-sensitive Attentions for Scene Recognition with RGB-D Videos. ACM Multimedia 2019: 1286-1294 - [c130]Weiqing Min, Linhu Liu, Zhengdong Luo, Shuqiang Jiang:
Ingredient-Guided Cascaded Multi-Attention Network for Food Recognition. ACM Multimedia 2019: 1331-1339 - [e5]Changsheng Xu, Mohan S. Kankanhalli, Kiyoharu Aizawa, Shuqiang Jiang, Roger Zimmermann, Wen-Huang Cheng:
MMAsia '19: ACM Multimedia Asia, Beijing, China, December 16-18, 2019. ACM 2019, ISBN 978-1-4503-6841-4 [contents] - [i10]Weiqing Min, Shuqiang Jiang, Ramesh C. Jain:
Food Recommendation: Framework, Existing Solutions and Challenges. CoRR abs/1905.06269 (2019) - [i9]Xiangyang Li, Luis Herranz, Shuqiang Jiang:
Multifaceted Analysis of Fine-Tuning in Deep Model for Visual Recognition. CoRR abs/1907.05099 (2019) - [i8]Gongwei Chen, Xinhang Song, Haitao Zeng, Shuqiang Jiang:
Scene Recognition with Prototype-agnostic Scene Layout. CoRR abs/1909.03234 (2019) - [i7]Jing Wang, Weiqing Min, Sujuan Hou, Shengnan Ma, Yuanjie Zheng, Haishuai Wang, Shuqiang Jiang:
Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification. CoRR abs/1911.07924 (2019) - 2018
- [j41]Weiqing Min, Bing-Kun Bao, Shuhuan Mei, Yaohui Zhu, Yong Rui, Shuqiang Jiang:
You Are What You Eat: Exploring Rich Recipe Information for Cross-Region Food Analysis. IEEE Trans. Multim. 20(4): 950-964 (2018) - [j40]Xiangyang Li, Shuqiang Jiang:
Bundled Object Context for Referring Expressions. IEEE Trans. Multim. 20(10): 2749-2760 (2018) - [c129]Yaohui Zhu, Shuqiang Jiang:
Deep Structured Learning for Visual Relationship Detection. AAAI 2018: 7623-7630 - [c128]Jian Sun, Yaohui Zhu, Shuqiang Jiang:
One-shot learning for RGB-D hand-held object recognition. ICIMCS 2018: 11:1-11:6 - [c127]Jiyang Dong, Jian Xue, Shuqiang Jiang, Ke Lu:
A Novel Approach of Multiple Objects Segmentation Based on Graph Cut. MIPR 2018: 328-333 - [c126]Liang Li, Shuhui Wang, Shuqiang Jiang, Qingming Huang:
Attentive Recurrent Neural Network for Weak-supervised Multi-label Image Classification. ACM Multimedia 2018: 1092-1100 - [c125]Shuqiang Jiang:
Session details: Deep-3 (Image Processing-Inpainting, Super-Resolution, Deblurring). ACM Multimedia 2018 - [c124]Shuqiang Jiang:
Session details: Grand Challenge-1. ACM Multimedia 2018 - [c123]Shuqiang Jiang:
Session details: Grand Challenge-2. ACM Multimedia 2018 - [c122]Chengpeng Chen, Xinhang Song, Shuqiang Jiang:
Focal Loss for Region Proposal Network. PRCV (2) 2018: 368-380 - [e4]Bing Zeng, Qingming Huang, Abdulmotaleb El-Saddik, Hongliang Li, Shuqiang Jiang, Xiaopeng Fan:
Advances in Multimedia Information Processing - PCM 2017 - 18th Pacific-Rim Conference on Multimedia, Harbin, China, September 28-29, 2017, Revised Selected Papers, Part I. Lecture Notes in Computer Science 10735, Springer 2018, ISBN 978-3-319-77379-7 [contents] - [e3]Bing Zeng, Qingming Huang, Abdulmotaleb El-Saddik, Hongliang Li, Shuqiang Jiang, Xiaopeng Fan:
Advances in Multimedia Information Processing - PCM 2017 - 18th Pacific-Rim Conference on Multimedia, Harbin, China, September 28-29, 2017, Revised Selected Papers, Part II. Lecture Notes in Computer Science 10736, Springer 2018, ISBN 978-3-319-77382-7 [contents] - [i6]Xinhang Song, Luis Herranz, Shuqiang Jiang:
Depth CNNs for RGB-D scene recognition: learning from scratch better than transferring from RGB-CNNs. CoRR abs/1801.06797 (2018) - [i5]Luis Herranz, Shuqiang Jiang, Xiangyang Li:
Scene recognition with CNNs: objects, scales and dataset bias. CoRR abs/1801.06867 (2018) - [i4]Luis Herranz, Weiqing Min, Shuqiang Jiang:
Food recognition and recipe analysis: integrating visual content, context and external knowledge. CoRR abs/1801.07239 (2018) - [i3]Weiqing Min, Shuqiang Jiang, Linhu Liu, Yong Rui, Ramesh C. Jain:
A Survey on Food Computing. CoRR abs/1808.07202 (2018) - [i2]Xinhang Song, Shuqiang Jiang, Luis Herranz, Chengpeng Chen:
Learning Effective RGB-D Representations for Scene Recognition. CoRR abs/1809.06269 (2018) - [i1]Shuqiang Jiang, Weiqing Min, Shuhuan Mei:
Hierarchy-Dependent Cross-Platform Multi-View Feature Learning for Venue Category Prediction. CoRR abs/1810.09833 (2018) - 2017
- [j39]Shuqiang Jiang, Liangliang Cao, Jitao Sang, Jiebo Luo, Ramesh C. Jain:
Guest editorial: mobile visual tagging with mobile context. Multim. Syst. 23(6): 645-646 (2017) - [j38]Weiqing Min, Shuqiang Jiang, Shuhui Wang, Ruihan Xu, Yushan Cao, Luis Herranz, Zhiqiang He:
A survey on context-aware mobile visual recognition. Multim. Syst. 23(6): 647-665 (2017) - [j37]Xiong Lv, Xinda Liu, Xiangyang Li, Xue Li, Shuqiang Jiang, Zhiqiang He:
Modality-specific and hierarchical feature learning for RGB-D hand-held object recognition. Multim. Tools Appl. 76(3): 4273-4290 (2017) - [j36]Liang Li, Zi Huang, Zheng-Jun Zha, Shuqiang Jiang:
Guest Editorial: Knowledge-Based Multimedia Computing. Multim. Tools Appl. 76(23): 24955-24959 (2017) - [j35]Xinhang Song, Shuqiang Jiang, Luis Herranz:
Multi-Scale Multi-Feature Context Modeling for Scene Recognition in the Semantic Manifold. IEEE Trans. Image Process. 26(6): 2721-2735 (2017) - [j34]Luis Herranz, Shuqiang Jiang, Ruihan Xu:
Modeling Restaurant Context for Food Recognition. IEEE Trans. Multim. 19(2): 430-440 (2017) - [j33]Weiqing Min, Shuqiang Jiang, Jitao Sang, Huayang Wang, Xinda Liu, Luis Herranz:
Being a Supercook: Joint Food Attributes and Multimodal Content Modeling for Recipe Retrieval and Exploration. IEEE Trans. Multim. 19(5): 1100-1113 (2017) - [c121]Xinhang Song, Luis Herranz, Shuqiang Jiang:
Depth CNNs for RGB-D Scene Recognition: Learning from Scratch Better than Transferring from RGB-CNNs. AAAI 2017: 4271-4277 - [c120]Sisi Liang, Xiangyang Li, Yongqing Zhu, Xue Li, Shuqiang Jiang:
ISIA at the ImageCLEF 2017 Image Caption Task. CLEF (Working Notes) 2017 - [c119]Leixian Qiao, Yaohui Zhu, Runze Li, Weiqing Min, Shuqiang Jiang:
Indoor RGB-D Object Detection with the Guidance of Hand-Held Objects. ICIMCS 2017: 116-127 - [c118]Yaohui Zhu, Shuqiang Jiang, Xiangyang Li:
Visual relationship detection with object spatial distribution. ICME 2017: 379-384 - [c117]Xiaodan Zhang, Shengfeng He, Xinhang Song, Pengxu Wei, Shuqiang Jiang, Qixiang Ye, Jianbin Jiao, Rynson W. H. Lau:
Keyword-driven image captioning via Context-dependent Bilateral LSTM. ICME 2017: 781-786 - [c116]Shuqiang Jiang, Weiqing Min, Xue Li, Huayang Wang, Jian Sun, Jiaqi Zhou:
Dual Track Multimodal Automatic Learning through Human-Robot Interaction. IJCAI 2017: 4485-4491 - [c115]Xinhang Song, Shuqiang Jiang, Luis Herranz:
Combining Models from Multiple Sources for RGB-D Scene Recognition. IJCAI 2017: 4523-4529 - [c114]Weiqing Min, Shuqiang Jiang, Shuhui Wang, Jitao Sang, Shuhuan Mei:
A Delicious Recipe Analysis Framework for Exploring Multi-Modal Recipes with Various Attributes. ACM Multimedia 2017: 402-410 - [c113]Xinhang Song, Chengpeng Chen, Shuqiang Jiang:
RGB-D Scene Recognition with Object-to-Object Relation. ACM Multimedia 2017: 600-608 - 2016
- [j32]Guorong Li, Shuqiang Jiang, Weigang Zhang, Junbiao Pang, Qingming Huang:
Online web video topic detection and tracking with semi-supervised learning. Multim. Syst. 22(1): 115-125 (2016) - [j31]Luis Herranz, Jian Cheng, Yue Gao, Shuqiang Jiang:
Guest Editorial: Image Analysis and Processing Leveraging Additional Information. Multim. Tools Appl. 75(7): 3933-3936 (2016) - [j30]